YUMZ utilaje de constructii: YUMZ utilaje de constructii nouă si second hand de vânzare\nAcasă » Utilaje de constructii » YUMZ utilaje de constructiiBOMAGCATERPILLARGENIEHITACHIJCBKOMATSULIEBHERRMERCEDES-BENZTEREXVOLVO » YUMZ utilaje de constructii\nYUMZ utilaje de constructii\nbuldoexcavatoare 2 excavatoare telescopice 1\nAL 10 AS 11 AZ 28\nAIRMAN 3 AKERMAN 31\nAKSA 3 ALIMAK 3 ALIVA 7 ALLATT 1 ALLCAT 6 ALLMAND 1 ALLU 1 AMAC 1 AME 1 AMERICAN 11 AMKODOR 23 AMMANN 179\nAP 240 12 AR 10 ASC 20 AV 53\nAV 26 17 AV 95 11\nATC 2 ATLAS 235\n1304 13 1404 19 1504 11 1604 20 AR 49 W series 10\nAVANT 10 AVIA 11 Airo 1 Atlas Copco 467\nQAS 74 QAX 13 ROC 37 XAHS 27 XAS 97\nAtmos 4 BAGELA 1 BAIONI 2 BANUT 10 BARBER GREENE 3 BARIKELL 1 BAUER 138\nB25 14 B30 16 B40 10\nBKM 6 BLUELIFT 4 BMC 1 BOBCAT 340\n435 10 E series 50 S series 157\nS130 35 S150 12 S160 20 S175 13 S185 13 S250 14 S300 10\nBOHLER 6 BOMAG 763\nBW80 28 BW100 41 BW120 61 BW138 17 BW161 33 BW174 56 BW177 23 BW211 26 BW213 83 BW216 16 BW217 16 BW219 57\nBOREX 2 BOSCH 1 BREINING 4 BRINKMANN 15 BROKK 3 BROWN LENOX 7 BROYT 3 BT 1 BUCHER 1 BUMAR 6 Barford 22 Belle 1 Bluming 2 Brianskiy arsenal 4 BÖCKER 1 CAFFINI 2 CAMC 2 CANYCOM 3 CARMIX 16 CASAGRANDE 91\nC 6 25\n580 K 12 580 L 11 580 M 21 580 SR 27\n721 21 788 18 CX 188\n140G 163 140H 217 140K 132 140M 40\n320B 56 320C 124 320D 153 320L 36\n330B 35 330C 63 330D 41\n950B 38 950E 70 950F 60 950G 89 950H 112\n966C 61 966D 28 966E 75 966F 119 966G 161 966H 246\nD3 643 D4 139 D5 354 D6 628 D7 315 D8 240 D9 110\nF-series 433 M-series 260\nM312 32 M313 69 M313C 30 M315 71 M316 51 M318 37 M322 17\nCHAMPION 16 CHANGLIN 7 CHTZ 17 CIFA 23 CINOMATIC 2 CLAAS 7 CLARK 9 CLUB CAR 1 CM 4 COLES 12 COMANSA CM 2 COMEDIL 14 COMPAIR 52\nCONSTMACH 28 CORINSA 8 CROWN 4 CTE 7 CUKUROVA 10 CUMMINS 72\nDALBE 2 DEILMANN HANIEL 5 DELMAG 15 DELTA 3 DEMAG 180\nDENYO 3 DESOT 1 DETVAN 1 DEUTZ 61 DIECI 21 DINO 10 DITCH-WITCH 65\nDOCKER 6 DOKA 13 DONAT 1 DONGFENG 1 DOOSAN 585\nDH150 29 DH220 41 DH225 18 DH300 24\nDX140 37 DX160 12 DX225 57 DX255 14 DX300 20 DX340 23\nDRILTECH 5 DT 2 DYNAPAC 689\nCA 25 157 CA 30 127 CA 250 13 CA 251 80 CA 301 23 CA 602 20\nF 4 22 F 6 14 F 8 16 F 12 19 F 14 22 F 121 15 F 141 22\nSD 2500 18\nDZ 7 DZK 1 EDER 2 EKSKO 2 ELBA 5 ENDRESS 5 EOV 4 EP 1 ERMONT 2 ETEC 3 EUCLID 18\nC10 13 C12 35\nFIAT 51 FIAT-ALLIS 44\nFIBO INTERCON 1 FILIPPINI 3 FINLAY 76 FINTEC 12 FIORI 38 FLIEGL 5 FMGru 21 FODEN 1 FORD 22 FORD CARGO 1 FOTON 4 FRASTE 1 FRUMECAR 6 FUCHS 128\nFURUKAWA 43 FUSHUN 2 FUWA 7 GAYK 1 GAZ 41 GEAX 19\nGEDA 3 GEHL 35 GELEC 10 GENESET 3 GENIE 789\nGS1532 12 GS1930 28 GS1932 51 GS2032 40 GS2046 16 GS2632 27 GS2646 56 GS2668 12 GS3246 47 GS3268 34 GS4390 11 GS5390 17\nS45 23 S60 12 S65 22 S85 24\nZ30 29 Z34 44 Z45 109 Z60 46 Z80 17\nMZ 13 RT 41\nGSR 1 GUIDETTI 4 GUNSTIG 1 GenSet 18 GiTech 5 HALLA 2 HAMM 527\n3411 14 3412 47 3520 15 DV 103\nGRW 25 HD 179\nHD8 24 HD10 27 HD12 45 HD13 15 HD14 23 HD90 21 HD110 12\nHAMMEL 6 HAMMER 2 HANGCHA 1 HANIX 19\nHARDI 1 HARTL 20 HAULOTTE 542\nCompact 8 63 Compact 10 62 Compact 12 52\nH12 27 H15 32 H16 17 H18 20 H21 22 H23 21 H25 12 HA 150 HA12 38 HA15 19 HA16 43 HA18 16 HA20 20\nHINOWA 7 HITACHI 1486\nEX16 44 EX30 20 EX60 38 EX100 76 EX120 54 EX160 40 EX200 231 EX300 14\nKH100 14 KH150 11 KH180 40\nZX17 22 ZX25 38 ZX50 17 ZX85 20 ZX130 19 ZX135 17 ZX160 25 ZX170 17 ZX200 48 ZX210 98 ZX225 21 ZX240 18 ZX250 35 ZX280 26 ZX350 54\nHITACHI-SUMITOMO 9 HOFMANN 16 HONDA 19 HOUCON 1 HOWO 16 HSW 9 HTZ 4 HUAXIA 1 HUBA 2 HUSQVARNA 5 HYCO 2 HYDRARAM 8 HYDREMA 21 HYDROS 4 HYSTER 4 HYTEC 2 HYUNDAI 406\nRobex 140 28 Robex 210 22 Robex 290 15\nIFA 2 IHI 35 IMER 6 IMT 3 INGERSOLL RAND 168\nG-series 14 P-series 17 SD 22\nINSTANT UpRight 1 INTERNATIONAL 4 INTRAME 7 ISOLI 1 ISUZU 87 ITECO 33\nDaily 16 EuroCargo 24 Eurotrakker 10 Trakker 40\nIng. BONFIGLIOLI 1 JASO 1 JCB 1690\n1CX 66 2CX 113 3CX 503 4CX 216 8018 64 JS 412\nJS 130 58 JS 145 50 JS 160 67 JS 175 17 JS 180 23 JS 200 35 JS 210 48 JS 220 136 JS 240 37 JS 330 25\n450 56 460 21 600 41 800 28 1930 76 2030 36 2646 19 3246 43 E series 50 Toucan 46\nJYM 1 KAELBLE 7 KAESER 47\nKAISER 9 KALMAR 24 KAMAZ 74 KATO 416\nCR 14 KR 56\nKR25 26 KR50 11\nNK200 12 NK250 107 NK300 21 NK400 36 NK500 70 NK1200 11\nKB 5 KCP 6 KEESTRACK 13 KETONG 1 KIA 3 KIPOR 2 KIROVETS 2 KIVERCO 1 KKT 2 KLEEMANN 68 KLEINE 2 KLEMM 34\n7055 33 7150 11 CKE 14 RK 23\nSK35 11 SK200 46 SK210 19\nKOHLER 4 KOMATSU 2898\nD21 36 D37 12 D41 14 D50 18 D51 11 D61 40 D65 119 D85 71 D155 69 D355 21\nPC16 47 PC20 235 PC30 65 PC35 53 PC45 50 PC55 121 PC60 68 PC120 40 PC130 54 PC210 175 PC220 150 PC240 88 PC290 40\nPW95 18 PW130 12 PW160 38 PW170 10 PW180 17\nWA70 15 WA100 17 WA250 15 WA300 17 WA320 73 WA350 21 WA380 122 WA420 29 WA430 17 WA470 108 WA480 30 WA500 47 WA600 19\nKONECRANES 3 KONGSKILDE 1 KOPERNIK 1 KRAMER 69 KRAMER ALLRAD 8 KRAZ 27\nA series 12 KX 99\nKX080 17 KX36 14 KX61 12\nU10 12 U35 11\nKurganMashZavod 2 KÖGEL 1 L.A.G. 20 LA 2 LANDINI 2 LEBLAN 1 LEBRERO 17 LEEBOY 2 LEFFER 3 LEFORT 3 LIAZ 1 LIEBHERR 1658\nA308 31 A309 24 A311 57 A312 63 A314 72 A316 71 A900 49 A902 20 A904 34 A924 16 A934 11\nLR 58 LTM 353\nLTM 1030 44 LTM 1040 16 LTM 1050 12 LTM 1055 14 LTM 1060 12 LTM 1070 31 LTM 1090 31 LTM 1100 35 LTM 1120 10 LTM 1160 14 LTM 1200 16 LTM 1220 16 LTM 1250 16 LTM 1300 13 LTM 1500 16\nLIFTLUX 10 LINDE 1 LINDEN COMANSA 6 LINK-BELT 11 LINNHOFF & HENNE 2 LINTEC 8 LIUGONG 27\nLOCUST 8 LONGGONG 1 LONKING 6 LOVOL 8 LT 1 LUNA 19 Lifting Machines 3 Lincoln 7 Lister Petter 1 M.Z. IMER 1 MAEDA 13 MAFI 10 MAGIRUS 6 MAGNI 11 MAIT 31\nF-series 13 L-series 25 TGA 73 TGS 81\n11 12 12 151\n12MSX 114 12MXT 128\n14 14 714 24\nMFL 5 MICHIGAN 11 MILLER 11 MITSUBISHI 95 MKG 1 MOAZ 1 MOL 5 MONTABERT 6 MOORFIELD 1 MOROOKA 14 MOSA 11 MOXY 33\nMRIYA 5 MST 4 MTZ 10 MULTICAR 4 MULTIONE 2 MUSTANG 16 MWM 8 MZKT 1 McCLOSKEY 31 Mecbo 6 Multitel 2 NCK 11 NEUSON 139\nB 100 15 B 110 29 B 115 19\nCX 16 E series 147\nHR10 14 HR12 14 HR21 15\nNTC 1 Nippon Sharyo 1 O&K 185\nOM 13 OMME 42 OPTIMAS 3 ORMIG 10 ORTECO 4 P&H 20 PALAZZANI 10 PALFINGER 13 PARKER 4 PARKER PLANT 17 PARTNER 1 PAUS 23 PBE 1 PEA 1 PEGASO 4 PEINER 6 PEKAZETT 3 PERKINS 87 PETRONICK 5 PEUGEOT 3 PFT 16 PINGUELY 5 PIQUERSA 2 PM 1 POCLAIN 4 POTAIN 184\nPRAGA 1 PRAMAC 56 PROMAX STAR 47 PSP 1 PTC 9 PUTZMEISTER 251\nPVE 7 Perlini 1 Proletarskiy zavod 4 RAIMONDI 10 RAMMAX 43\nSANDERSON 1 SANDVIK 288\nSBM 5 SCANIA 105\nSCHAEFF 46 SCHEID 3 SCHENK 1 SCHEUERLE 4 SCHOUTEN 1 SCHRAMM 1 SCHWAMBORN 7 SCHWING 49\n613 13 S series 13\nSIMMA 9 SIPE 2 SISU 4 SKODA 5 SKYJACK 230\nR-series 35 SM 10 SR 33\nSTALOWA WOLA 11 STAR 1 STAR HAMMER 1 STAVOSTROJ 13 STEHR 3 STERLING 1 STETTER 13 STEYR 1 STILL 3 SULLAIR 18 SUMAB 33 SUMITOMO 56\nSVEDALA-DEMAG 11 Schaffer 6 Sebhsa 1 Socage 16 TABARELLI 2 TADANO 639\nGR 31 GT 92\nTL 200 24 TL 250 74 TL 300 51\nTB016 24 TB23 12 TB80 13 TB125 10 TB175 35 TB180 18 TB1140 13\nTAMROCK 68 TATA 2 TATRA 66\n148 16 815 34 T-series 29\nTCM 14 TECCHIO 3 TEKA 7 TERBERG 44\nTC 41 TL 22 TR 18 TV 26\nTESAB 17 TG 1 THOMAS 10 THWAITES 56 TITAN Trailers 5 TO 2 TORO 6 TOYOTA 2 TRACTO-TECHNIK 7 TRIMAN 2 TUNA 1 TVEKS 2 Teltomat 14 TerraGator 1 Teupen 10 UBI 1 UGB 2 UH 1 UMG 1 UN 5 UNC 1 UNIC 2 UPRIGHT 60\nVF VENIERI 9 VIBROMAX 20 VISSER 6 VOLKSWAGEN 1 VOLVO 2009\nA25 62 A30 59 A35 42 A40 50\nBL 71 47\nBLC 233 EC 545\nEC 18 23 EC 25 16 EC 30 15 EC 55 14 EC 140 22 EC 210 140 EC 240 79 EC 290 68 EC 300 14 EC 360 39 EC 460 38\nEW 140 32 EW 160 66 EW 180 19\nL20 17 L25 25 L30 42 L35 24 L60 18 L70 29 L90 63 L110 53 L120 100 L150 94 L180 85 L220 43\nSuper 800 47 Super 1300 22 Super 1303 15 Super 1600 21 Super 1603 10 Super 1800 75 Super 1803 29 Super 1900 25 Super 2100 14\nDPU 35 RD 16 RT 14\nWEIDEMANN 23 WEIMAR 3 WELLER 1 WERKLUST 8 WESERHÜTTE 11 WILLE 1 WILLIBALD 2 WIRTGEN 366\nSP 12 W- series 230 W50 33\nWR 2000 19 WR 2400 11 WR 2500 15\nWIRTH 9 WOLFF 2 WUMAG 1 Wacker Neuson 14 Woltman 4 XCMG 199\nC-series 11 SV 34 Vio 74\nYONGMAO 1 YTO 2 YUCHAI 2 YUMZ 3 Yima Tech 3 ZEPPELIN 16\nvânzare 3 închiriere 1\n2 axuri 2\nFaceţi publicitate în secţiunea Top YUMZ utilaje de constructii: 3 unitate\nYUMZ - EO 2621\n1987 2.020 €≈ 2.480 $\n≈ 9.349 RON\nYUMZ - EO2621\n01/1994 1000 km negociabil\n01/1991 111 €≈ 136 $\n≈ 514 RON


Africa - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Asia - Southeast Asia and India Asia - West Siberia Australia Europe Globe Middle East and Sahara North America - Alaska and Northern Canada North America - Central America North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon South America - Southeast South America - Southwest\nBenchmark CLM4.5_CRUNCEP CLM4.5_GSWP3 CLM4.5SP_GSWP3 CLM4_CRUNCEP CLM4_GSWP3 CLM4SP_GSWP3 CLM5_CRUNCEP CLM5_GSWP3 CLM5SP_CRUNCEP CLM5SP_GSWP3\nPeriod Mean (original grids) [W/m2]\nModel Period Mean (intersection) [W/m2]\nModel Period Mean (complement) [W/m2]\nBenchmark Period Mean (intersection) [W/m2]\nBenchmark Period Mean (complement) [W/m2]\nPhase Shift [months]\nSeasonal Cycle Score \nSpatial Distribution Score \nInterannual Variability Score \nBenchmark [-] 218.\nCLM4.5_CRUNCEP [-] 228. 228. 218. 219. 9.56 18.7 1.04 0.59 0.50 0.87 0.99 0.47 0.65\nCLM4.5_GSWP3 [-] 215. 215. 218. 219. -2.67 17.1 0.845 0.74 0.49 0.90 0.94 0.82 0.73\nCLM4.5SP_GSWP3 [-] 215. 215. 218. 219. -2.67 17.1 0.845 0.74 0.49 0.90 0.94 0.82 0.73\nCLM4_CRUNCEP [-] 228. 228. 218. 219. 9.56 18.7 1.04 0.59 0.50 0.87 0.99 0.47 0.65\nCLM4_GSWP3 [-] 215. 215. 218. 219. -2.67 17.1 0.845 0.74 0.49 0.90 0.94 0.82 0.73\nCLM4SP_GSWP3 [-] 215. 215. 218. 219. -2.67 17.1 0.845 0.74 0.49 0.90 0.94 0.82 0.73\nCLM5_CRUNCEP [-] 228. 228. 218. 219. 9.56 18.7 1.04 0.59 0.50 0.87 0.99 0.47 0.65\nCLM5_GSWP3 [-] 215. 215. 218. 219. -2.67 17.1 0.845 0.74 0.49 0.90 0.94 0.82 0.73\nCLM5SP_CRUNCEP [-] 228. 228. 218. 219. 9.56 18.7 1.04 0.59 0.50 0.87 0.99 0.47 0.65\nCLM5SP_GSWP3 [-] 215. 215. 218. 219. -2.67 17.1 0.845 0.74 0.49 0.90 0.94 0.82 0.73\nBenchmark [-] 243.\nCLM4.5_CRUNCEP [-] 245. 245. 243. 228. 2.40 20.3 0.724 0.59 0.54 0.93 0.97 0.74 0.72\nCLM4.5_GSWP3 [-] 240. 241. 243. 228. -2.41 14.7 0.393 0.81 0.55 0.97 0.99 0.86 0.79\nCLM4.5SP_GSWP3 [-] 240. 241. 243. 228. -2.41 14.7 0.393 0.81 0.55 0.97 0.99 0.86 0.79\nCLM4_CRUNCEP [-] 245. 245. 243. 228. 2.40 20.3 0.724 0.59 0.54 0.93 0.97 0.74 0.72\nCLM4_GSWP3 [-] 240. 241. 243. 228. -2.41 14.7 0.393 0.81 0.55 0.97 0.99 0.86 0.79\nCLM4SP_GSWP3 [-] 240. 241. 243. 228. -2.41 14.7 0.393 0.81 0.55 0.97 0.99 0.86 0.79\nCLM5_CRUNCEP [-] 245. 245. 243. 228. 2.40 20.3 0.724 0.59 0.54 0.93 0.97 0.74 0.72\nCLM5_GSWP3 [-] 240. 241. 243. 228. -2.41 14.7 0.393 0.81 0.55 0.97 0.99 0.86 0.79\nCLM5SP_CRUNCEP [-] 245. 245. 243. 228. 2.40 20.3 0.724 0.59 0.54 0.93 0.97 0.74 0.72\nCLM5SP_GSWP3 [-] 240. 241. 243. 228. -2.41 14.7 0.393 0.81 0.55 0.97 0.99 0.86 0.79\nBenchmark [-] 233.\nCLM4.5_CRUNCEP [-] 232. 232. 233. 234. -0.895 18.3 0.994 0.73 0.59 0.86 0.89 0.53 0.70\nCLM4.5_GSWP3 [-] 232. 232. 233. 234. -0.710 16.8 0.786 0.84 0.57 0.90 0.98 0.76 0.77\nCLM4.5SP_GSWP3 [-] 232. 232. 233. 234. -0.710 16.8 0.786 0.84 0.57 0.90 0.98 0.76 0.77\nCLM4_CRUNCEP [-] 232. 232. 233. 234. -0.895 18.3 0.994 0.73 0.59 0.86 0.89 0.53 0.70\nCLM4_GSWP3 [-] 232. 232. 233. 234. -0.710 16.8 0.786 0.84 0.57 0.90 0.98 0.76 0.77\nCLM4SP_GSWP3 [-] 232. 232. 233. 234. -0.710 16.8 0.786 0.84 0.57 0.90 0.98 0.76 0.77\nCLM5_CRUNCEP [-] 232. 232. 233. 234. -0.895 18.3 0.994 0.73 0.59 0.86 0.89 0.53 0.70\nCLM5_GSWP3 [-] 232. 232. 233. 234. -0.710 16.8 0.786 0.84 0.57 0.90 0.98 0.76 0.77\nCLM5SP_CRUNCEP [-] 232. 232. 233. 234. -0.895 18.3 0.994 0.73 0.59 0.86 0.89 0.53 0.70\nCLM5SP_GSWP3 [-] 232. 232. 233. 234. -0.710 16.8 0.786 0.84 0.57 0.90 0.98 0.76 0.77\nBenchmark [-] 111.\nCLM4.5_CRUNCEP [-] 112. 112. 112. 108. -0.236 22.5 0.895 0.96 0.78 0.94 0.98 0.59 0.84\nCLM4.5_GSWP3 [-] 106. 107. 112. 108. -5.28 21.6 0.895 0.94 0.79 0.94 0.99 0.74 0.87\nCLM4.5SP_GSWP3 [-] 106. 107. 112. 108. -5.28 21.6 0.895 0.94 0.79 0.94 0.99 0.74 0.87\nCLM4_CRUNCEP [-] 112. 112. 112. 108. -0.236 22.5 0.895 0.96 0.78 0.94 0.98 0.59 0.84\nCLM4_GSWP3 [-] 106. 107. 112. 108. -5.28 21.6 0.895 0.94 0.79 0.94 0.99 0.74 0.87\nCLM4SP_GSWP3 [-] 106. 107. 112. 108. -5.28 21.6 0.895 0.94 0.79 0.94 0.99 0.74 0.87\nCLM5_CRUNCEP [-] 112. 112. 112. 108. -0.236 22.5 0.895 0.96 0.78 0.94 0.98 0.59 0.84\nCLM5_GSWP3 [-] 106. 107. 112. 108. -5.28 21.6 0.895 0.94 0.79 0.94 0.99 0.74 0.87\nCLM5SP_CRUNCEP [-] 112. 112. 112. 108. -0.236 22.5 0.895 0.96 0.78 0.94 0.98 0.59 0.84\nCLM5SP_GSWP3 [-] 106. 107. 112. 108. -5.28 21.6 0.895 0.94 0.79 0.94 0.99 0.74 0.87\nBenchmark [-] 212.\nCLM4.5_CRUNCEP [-] 216. 216. 209. 219. 9.22 20.2 1.45 0.61 0.45 0.78 1.0 0.52 0.63\nCLM4.5_GSWP3 [-] 203. 202. 209. 219. -2.31 17.6 1.09 0.71 0.44 0.83 0.96 0.78 0.69\nCLM4.5SP_GSWP3 [-] 203. 202. 209. 219. -2.31 17.6 1.09 0.71 0.44 0.83 0.96 0.78 0.69\nCLM4_CRUNCEP [-] 216. 216. 209. 219. 9.22 20.2 1.45 0.61 0.45 0.78 1.0 0.52 0.63\nCLM4_GSWP3 [-] 203. 202. 209. 219. -2.31 17.6 1.09 0.71 0.44 0.83 0.96 0.78 0.69\nCLM4SP_GSWP3 [-] 203. 202. 209. 219. -2.31 17.6 1.09 0.71 0.44 0.83 0.96 0.78 0.69\nCLM5_CRUNCEP [-] 216. 216. 209. 219. 9.22 20.2 1.45 0.61 0.45 0.78 1.0 0.52 0.63\nCLM5_GSWP3 [-] 203. 202. 209. 219. -2.31 17.6 1.09 0.71 0.44 0.83 0.96 0.78 0.69\nCLM5SP_CRUNCEP [-] 216. 216. 209. 219. 9.22 20.2 1.45 0.61 0.45 0.78 1.0 0.52 0.63\nCLM5SP_GSWP3 [-] 203. 202. 209. 219. -2.31 17.6 1.09 0.71 0.44 0.83 0.96 0.78 0.69\nBenchmark [-] 126.\nCLM4.5_CRUNCEP [-] 134. 134. 126. 139. 8.17 22.1 0.380 0.89 0.79 0.97 0.99 0.68 0.85\nCLM4.5_GSWP3 [-] 126. 125. 126. 139. -0.0545 14.7 0.342 0.96 0.83 0.97 0.96 0.64 0.87\nCLM4.5SP_GSWP3 [-] 126. 125. 126. 139. -0.0545 14.7 0.342 0.96 0.83 0.97 0.96 0.64 0.87\nCLM4_CRUNCEP [-] 134. 134. 126. 139. 8.17 22.1 0.380 0.89 0.79 0.97 0.99 0.68 0.85\nCLM4_GSWP3 [-] 126. 125. 126. 139. -0.0545 14.7 0.342 0.96 0.83 0.97 0.96 0.64 0.87\nCLM4SP_GSWP3 [-] 126. 125. 126. 139. -0.0545 14.7 0.342 0.96 0.83 0.97 0.96 0.64 0.87\nCLM5_CRUNCEP [-] 134. 134. 126. 139. 8.17 22.1 0.380 0.89 0.79 0.97 0.99 0.68 0.85\nCLM5_GSWP3 [-] 126. 125. 126. 139. -0.0545 14.7 0.342 0.96 0.83 0.97 0.96 0.64 0.87\nCLM5SP_CRUNCEP [-] 134. 134. 126. 139. 8.17 22.1 0.380 0.89 0.79 0.97 0.99 0.68 0.85\nCLM5SP_GSWP3 [-] 126. 125. 126. 139. -0.0545 14.7 0.342 0.96 0.83 0.97 0.96 0.64 0.87\nBenchmark [-] 174.\nCLM4.5_CRUNCEP [-] 188. 188. 175. 164. 12.5 26.7 0.468 0.74 0.76 0.96 0.82 0.67 0.79\nCLM4.5_GSWP3 [-] 171. 170. 175. 164. -4.69 17.9 0.365 0.87 0.78 0.97 0.98 0.63 0.83\nCLM4.5SP_GSWP3 [-] 171. 170. 175. 164. -4.69 17.9 0.365 0.87 0.78 0.97 0.98 0.63 0.83\nCLM4_CRUNCEP [-] 188. 188. 175. 164. 12.5 26.7 0.468 0.74 0.76 0.96 0.82 0.67 0.79\nCLM4_GSWP3 [-] 171. 170. 175. 164. -4.69 17.9 0.365 0.87 0.78 0.97 0.98 0.63 0.83\nCLM4SP_GSWP3 [-] 171. 170. 175. 164. -4.69 17.9 0.365 0.87 0.78 0.97 0.98 0.63 0.83\nCLM5_CRUNCEP [-] 188. 188. 175. 164. 12.5 26.7 0.468 0.74 0.76 0.96 0.82 0.67 0.79\nCLM5_GSWP3 [-] 171. 170. 175. 164. -4.69 17.9 0.365 0.87 0.78 0.97 0.98 0.63 0.83\nCLM5SP_CRUNCEP [-] 188. 188. 175. 164. 12.5 26.7 0.468 0.74 0.76 0.96 0.82 0.67 0.79\nCLM5SP_GSWP3 [-] 171. 170. 175. 164. -4.69 17.9 0.365 0.87 0.78 0.97 0.98 0.63 0.83\nBenchmark [-] 210.\nCLM4.5_CRUNCEP [-] 230. 231. 210. 218. 19.8 28.8 0.321 0.57 0.62 0.97 0.99 0.66 0.74\nCLM4.5_GSWP3 [-] 207. 207. 210. 218. -1.45 19.3 0.328 0.81 0.62 0.97 0.94 0.74 0.78\nCLM4.5SP_GSWP3 [-] 207. 207. 210. 218. -1.45 19.3 0.328 0.81 0.62 0.97 0.94 0.74 0.78\nCLM4_CRUNCEP [-] 230. 231. 210. 218. 19.8 28.8 0.321 0.57 0.62 0.97 0.99 0.66 0.74\nCLM4_GSWP3 [-] 207. 207. 210. 218. -1.45 19.3 0.328 0.81 0.62 0.97 0.94 0.74 0.78\nCLM4SP_GSWP3 [-] 207. 207. 210. 218. -1.45 19.3 0.328 0.81 0.62 0.97 0.94 0.74 0.78\nCLM5_CRUNCEP [-] 230. 231. 210. 218. 19.8 28.8 0.321 0.57 0.62 0.97 0.99 0.66 0.74\nCLM5_GSWP3 [-] 207. 207. 210. 218. -1.45 19.3 0.328 0.81 0.62 0.97 0.94 0.74 0.78\nCLM5SP_CRUNCEP [-] 230. 231. 210. 218. 19.8 28.8 0.321 0.57 0.62 0.97 0.99 0.66 0.74\nCLM5SP_GSWP3 [-] 207. 207. 210. 218. -1.45 19.3 0.328 0.81 0.62 0.97 0.94 0.74 0.78\nBenchmark [-] 98.9\nCLM4.5_CRUNCEP [-] 103. 103. 99.3 90.5 3.33 23.2 0.920 0.94 0.78 0.92 0.95 0.60 0.83\nCLM4.5_GSWP3 [-] 96.0 96.3 99.3 90.5 -3.59 20.4 0.692 0.95 0.81 0.95 0.89 0.67 0.85\nCLM4.5SP_GSWP3 [-] 96.0 96.3 99.3 90.5 -3.59 20.4 0.692 0.95 0.81 0.95 0.89 0.67 0.85\nCLM4_CRUNCEP [-] 103. 103. 99.3 90.5 3.33 23.2 0.920 0.94 0.78 0.92 0.95 0.60 0.83\nCLM4_GSWP3 [-] 96.0 96.3 99.3 90.5 -3.59 20.4 0.692 0.95 0.81 0.95 0.89 0.67 0.85\nCLM4SP_GSWP3 [-] 96.0 96.3 99.3 90.5 -3.59 20.4 0.692 0.95 0.81 0.95 0.89 0.67 0.85\nCLM5_CRUNCEP [-] 103. 103. 99.3 90.5 3.33 23.2 0.920 0.94 0.78 0.92 0.95 0.60 0.83\nCLM5_GSWP3 [-] 96.0 96.3 99.3 90.5 -3.59 20.4 0.692 0.95 0.81 0.95 0.89 0.67 0.85\nCLM5SP_CRUNCEP [-] 103. 103. 99.3 90.5 3.33 23.2 0.920 0.94 0.78 0.92 0.95 0.60 0.83\nCLM5SP_GSWP3 [-] 96.0 96.3 99.3 90.5 -3.59 20.4 0.692 0.95 0.81 0.95 0.89 0.67 0.85\nBenchmark [-] 235.\nCLM4.5_CRUNCEP [-] 237. 237. 237. 210. -2.50 15.4 0.485 0.88 0.79 0.97 0.96 0.68 0.84\nCLM4.5_GSWP3 [-] 231. 231. 237. 210. -7.53 17.8 0.369 0.86 0.77 0.97 1.0 0.73 0.85\nCLM4.5SP_GSWP3 [-] 231. 231. 237. 210. -7.53 17.8 0.369 0.86 0.77 0.97 1.0 0.73 0.85\nCLM4_CRUNCEP [-] 237. 237. 237. 210. -2.50 15.4 0.485 0.88 0.79 0.97 0.96 0.68 0.84\nCLM4_GSWP3 [-] 231. 231. 237. 210. -7.53 17.8 0.369 0.86 0.77 0.97 1.0 0.73 0.85\nCLM4SP_GSWP3 [-] 231. 231. 237. 210. -7.53 17.8 0.369 0.86 0.77 0.97 1.0 0.73 0.85\nCLM5_CRUNCEP [-] 237. 237. 237. 210. -2.50 15.4 0.485 0.88 0.79 0.97 0.96 0.68 0.84\nCLM5_GSWP3 [-] 231. 231. 237. 210. -7.53 17.8 0.369 0.86 0.77 0.97 1.0 0.73 0.85\nCLM5SP_CRUNCEP [-] 237. 237. 237. 210. -2.50 15.4 0.485 0.88 0.79 0.97 0.96 0.68 0.84\nCLM5SP_GSWP3 [-] 231. 231. 237. 210. -7.53 17.8 0.369 0.86 0.77 0.97 1.0 0.73 0.85\nBenchmark [-] 140.\nCLM4.5_CRUNCEP [-] 159. 159. 138. 155. 20.3 27.3 0.255 0.76 0.83 0.98 1.0 0.70 0.85\nCLM4.5_GSWP3 [-] 135. 135. 138. 155. -0.611 14.4 0.228 0.94 0.84 0.98 1.0 0.65 0.88\nCLM4.5SP_GSWP3 [-] 135. 135. 138. 155. -0.611 14.4 0.228 0.94 0.84 0.98 1.0 0.65 0.88\nCLM4_CRUNCEP [-] 159. 159. 138. 155. 20.3 27.3 0.255 0.76 0.83 0.98 1.0 0.70 0.85\nCLM4_GSWP3 [-] 135. 135. 138. 155. -0.611 14.4 0.228 0.94 0.84 0.98 1.0 0.65 0.88\nCLM4SP_GSWP3 [-] 135. 135. 138. 155. -0.611 14.4 0.228 0.94 0.84 0.98 1.0 0.65 0.88\nCLM5_CRUNCEP [-] 159. 159. 138. 155. 20.3 27.3 0.255 0.76 0.83 0.98 1.0 0.70 0.85\nCLM5_GSWP3 [-] 135. 135. 138. 155. -0.611 14.4 0.228 0.94 0.84 0.98 1.0 0.65 0.88\nCLM5SP_CRUNCEP [-] 159. 159. 138. 155. 20.3 27.3 0.255 0.76 0.83 0.98 1.0 0.70 0.85\nCLM5SP_GSWP3 [-] 135. 135. 138. 155. -0.611 14.4 0.228 0.94 0.84 0.98 1.0 0.65 0.88\nBenchmark [-] 187.\nCLM4.5_CRUNCEP [-] 191. 191. 186. 187. 3.66 21.8 0.562 0.78 0.72 0.94 1.0 0.59 0.79\nCLM4.5_GSWP3 [-] 181. 181. 186. 187. -5.34 18.5 0.425 0.85 0.73 0.96 1.0 0.73 0.83\nCLM4.5SP_GSWP3 [-] 181. 181. 186. 187. -5.34 18.5 0.425 0.85 0.73 0.96 1.0 0.73 0.83\nCLM4_CRUNCEP [-] 191. 191. 186. 187. 3.66 21.8 0.562 0.78 0.72 0.94 1.0 0.59 0.79\nCLM4_GSWP3 [-] 181. 181. 186. 187. -5.34 18.5 0.425 0.85 0.73 0.96 1.0 0.73 0.83\nCLM4SP_GSWP3 [-] 181. 181. 186. 187. -5.34 18.5 0.425 0.85 0.73 0.96 1.0 0.73 0.83\nCLM5_CRUNCEP [-] 191. 191. 186. 187. 3.66 21.8 0.562 0.78 0.72 0.94 1.0 0.59 0.79\nCLM5_GSWP3 [-] 182. 182. 186. 187. -5.34 18.5 0.425 0.85 0.73 0.96 1.0 0.73 0.83\nCLM5SP_CRUNCEP [-] 191. 191. 186. 187. 3.66 21.8 0.562 0.78 0.72 0.94 1.0 0.59 0.79\nCLM5SP_GSWP3 [-] 182. 182. 186. 187. -5.34 18.5 0.425 0.85 0.73 0.96 1.0 0.73 0.83\nBenchmark [-] 249.\nCLM4.5_CRUNCEP [-] 249. 249. 250. 234. -1.83 17.2 0.387 0.82 0.78 0.97 0.99 0.71 0.84\nCLM4.5_GSWP3 [-] 240. 240. 250. 234. -10.3 17.6 0.354 0.80 0.77 0.97 1.0 0.71 0.84\nCLM4.5SP_GSWP3 [-] 240. 240. 250. 234. -10.3 17.6 0.354 0.80 0.77 0.97 1.0 0.71 0.84\nCLM4_CRUNCEP [-] 249. 249. 250. 234. -1.83 17.2 0.387 0.82 0.78 0.97 0.99 0.71 0.84\nCLM4_GSWP3 [-] 240. 240. 250. 234. -10.3 17.6 0.354 0.80 0.77 0.97 1.0 0.71 0.84\nCLM4SP_GSWP3 [-] 240. 240. 250. 234. -10.3 17.6 0.354 0.80 0.77 0.97 1.0 0.71 0.84\nCLM5_CRUNCEP [-] 249. 249. 250. 234. -1.83 17.2 0.387 0.82 0.78 0.97 0.99 0.71 0.84\nCLM5_GSWP3 [-] 240. 240. 250. 234. -10.3 17.6 0.354 0.80 0.77 0.97 1.0 0.71 0.84\nCLM5SP_CRUNCEP [-] 249. 249. 250. 234. -1.83 17.2 0.387 0.82 0.78 0.97 0.99 0.71 0.84\nCLM5SP_GSWP3 [-] 240. 240. 250. 234. -10.3 17.6 0.354 0.80 0.77 0.97 1.0 0.71 0.84\nBenchmark [-] 116.\nCLM4.5_CRUNCEP [-] 118. 117. 116. 114. 0.677 23.1 0.623 0.95 0.79 0.95 0.96 0.45 0.81\nCLM4.5_GSWP3 [-] 108. 108. 116. 114. -8.44 23.8 0.659 0.91 0.79 0.95 0.99 0.75 0.86\nCLM4.5SP_GSWP3 [-] 108. 108. 116. 114. -8.44 23.8 0.659 0.91 0.79 0.95 0.99 0.75 0.86\nCLM4_CRUNCEP [-] 118. 117. 116. 114. 0.677 23.1 0.623 0.95 0.79 0.95 0.96 0.45 0.81\nCLM4_GSWP3 [-] 108. 108. 116. 114. -8.44 23.8 0.659 0.91 0.79 0.95 0.99 0.75 0.86\nCLM4SP_GSWP3 [-] 108. 108. 116. 114. -8.44 23.8 0.659 0.91 0.79 0.95 0.99 0.75 0.86\nCLM5_CRUNCEP [-] 118. 117. 116. 114. 0.677 23.1 0.623 0.95 0.79 0.95 0.96 0.45 0.81\nCLM5_GSWP3 [-] 108. 108. 116. 114. -8.44 23.8 0.659 0.91 0.79 0.95 0.99 0.75 0.86\nCLM5SP_CRUNCEP [-] 118. 117. 116. 114. 0.677 23.1 0.623 0.95 0.79 0.95 0.96 0.45 0.81\nCLM5SP_GSWP3 [-] 108. 108. 116. 114. -8.44 23.8 0.659 0.91 0.79 0.95 0.99 0.75 0.86\nBenchmark [-] 230.\nCLM4.5_CRUNCEP [-] 224. 224. 229. 232. -4.21 25.5 0.839 0.65 0.66 0.92 0.70 0.68 0.71\nCLM4.5_GSWP3 [-] 225. 226. 229. 232. -2.36 17.1 0.281 0.81 0.69 0.97 0.99 0.77 0.82\nCLM4.5SP_GSWP3 [-] 225. 226. 229. 232. -2.36 17.1 0.281 0.81 0.69 0.97 0.99 0.77 0.82\nCLM4_CRUNCEP [-] 224. 224. 229. 232. -4.21 25.5 0.839 0.65 0.66 0.92 0.70 0.68 0.71\nCLM4_GSWP3 [-] 225. 226. 229. 232. -2.36 17.1 0.281 0.81 0.69 0.97 0.99 0.77 0.82\nCLM4SP_GSWP3 [-] 225. 226. 229. 232. -2.36 17.1 0.281 0.81 0.69 0.97 0.99 0.77 0.82\nCLM5_CRUNCEP [-] 224. 224. 229. 232. -4.21 25.5 0.839 0.65 0.66 0.92 0.70 0.68 0.71\nCLM5_GSWP3 [-] 225. 226. 229. 232. -2.36 17.1 0.281 0.81 0.69 0.97 0.99 0.77 0.82\nCLM5SP_CRUNCEP [-] 224. 224. 229. 232. -4.21 25.5 0.839 0.65 0.66 0.92 0.70 0.68 0.71\nCLM5SP_GSWP3 [-] 225. 226. 229. 232. -2.36 17.1 0.281 0.81 0.69 0.97 0.99 0.77 0.82\nBenchmark [-] 177.\nCLM4.5_CRUNCEP [-] 185. 185. 176. 204. 10.0 19.0 0.369 0.85 0.80 0.98 0.97 0.48 0.81\nCLM4.5_GSWP3 [-] 172. 172. 176. 204. -2.36 14.9 0.261 0.95 0.80 0.98 1.0 0.65 0.86\nCLM4.5SP_GSWP3 [-] 172. 172. 176. 204. -2.36 14.9 0.261 0.95 0.80 0.98 1.0 0.65 0.86\nCLM4_CRUNCEP [-] 185. 185. 176. 204. 10.0 19.0 0.369 0.85 0.80 0.98 0.97 0.48 0.81\nCLM4_GSWP3 [-] 172. 172. 176. 204. -2.36 14.9 0.261 0.95 0.80 0.98 1.0 0.65 0.86\nCLM4SP_GSWP3 [-] 172. 172. 176. 204. -2.36 14.9 0.261 0.95 0.80 0.98 1.0 0.65 0.86\nCLM5_CRUNCEP [-] 185. 185. 176. 204. 10.0 19.0 0.369 0.85 0.80 0.98 0.97 0.48 0.81\nCLM5_GSWP3 [-] 172. 172. 176. 204. -2.36 14.9 0.261 0.95 0.80 0.98 1.0 0.65 0.86\nCLM5SP_CRUNCEP [-] 185. 185. 176. 204. 10.0 19.0 0.369 0.85 0.80 0.98 0.97 0.48 0.81\nCLM5SP_GSWP3 [-] 172. 172. 176. 204. -2.36 14.9 0.261 0.95 0.80 0.98 1.0 0.65 0.86\nBenchmark [-] 136.\nCLM4.5_CRUNCEP [-] 149. 149. 137. 128. 12.1 23.2 0.321 0.85 0.79 0.98 0.98 0.49 0.81\nCLM4.5_GSWP3 [-] 135. 135. 137. 128. -1.63 14.4 0.185 0.95 0.84 0.99 1.0 0.65 0.88\nCLM4.5SP_GSWP3 [-] 135. 135. 137. 128. -1.63 14.4 0.185 0.95 0.84 0.99 1.0 0.65 0.88\nCLM4_CRUNCEP [-] 149. 149. 137. 128. 12.1 23.2 0.321 0.85 0.79 0.98 0.98 0.49 0.81\nCLM4_GSWP3 [-] 135. 135. 137. 128. -1.63 14.4 0.185 0.95 0.84 0.99 1.0 0.65 0.88\nCLM4SP_GSWP3 [-] 135. 135. 137. 128. -1.63 14.4 0.185 0.95 0.84 0.99 1.0 0.65 0.88\nCLM5_CRUNCEP [-] 149. 149. 137. 128. 12.1 23.2 0.321 0.85 0.79 0.98 0.98 0.49 0.81\nCLM5_GSWP3 [-] 135. 135. 137. 128. -1.63 14.4 0.185 0.95 0.84 0.99 1.0 0.65 0.88\nCLM5SP_CRUNCEP [-] 149. 149. 137. 128. 12.1 23.2 0.321 0.85 0.79 0.98 0.98 0.49 0.81\nCLM5SP_GSWP3 [-] 135. 135. 137. 128. -1.63 14.4 0.185 0.95 0.84 0.99 1.0 0.65 0.88\nBenchmark [-] 199.\nCLM4.5_CRUNCEP [-] 190. 190. 200. 176. -10.0 19.6 0.240 0.87 0.82 0.98 0.93 0.52 0.82\nCLM4.5_GSWP3 [-] 194. 194. 200. 176. -5.87 15.0 0.152 0.91 0.84 0.99 0.98 0.68 0.87\nCLM4.5SP_GSWP3 [-] 194. 194. 200. 176. -5.87 15.0 0.152 0.91 0.84 0.99 0.98 0.68 0.87\nCLM4_CRUNCEP [-] 190. 190. 200. 176. -10.0 19.6 0.240 0.87 0.82 0.98 0.93 0.52 0.82\nCLM4_GSWP3 [-] 194. 194. 200. 176. -5.87 15.0 0.152 0.91 0.84 0.99 0.98 0.68 0.87\nCLM4SP_GSWP3 [-] 194. 194. 200. 176. -5.87 15.0 0.152 0.91 0.84 0.99 0.98 0.68 0.87\nCLM5_CRUNCEP [-] 190. 190. 200. 176. -10.0 19.6 0.240 0.87 0.82 0.98 0.93 0.52 0.82\nCLM5_GSWP3 [-] 194. 194. 200. 176. -5.87 15.0 0.152 0.91 0.84 0.99 0.98 0.68 0.87\nCLM5SP_CRUNCEP [-] 190. 190. 200. 176. -10.0 19.6 0.240 0.87 0.82 0.98 0.93 0.52 0.82\nCLM5SP_GSWP3 [-] 194. 194. 200. 176. -5.87 15.0 0.152 0.91 0.84 0.99 0.98 0.68 0.87\nBenchmark [-] 206.\nCLM4.5_CRUNCEP [-] 211. 211. 206. 229. 6.29 19.0 1.42 0.62 0.47 0.79 0.94 0.58 0.64\nCLM4.5_GSWP3 [-] 200. 200. 206. 229. -4.44 16.2 0.734 0.70 0.47 0.91 1.0 0.81 0.73\nCLM4.5SP_GSWP3 [-] 200. 200. 206. 229. -4.44 16.2 0.734 0.70 0.47 0.91 1.0 0.81 0.73\nCLM4_CRUNCEP [-] 211. 211. 206. 229. 6.29 19.0 1.42 0.62 0.47 0.79 0.94 0.58 0.64\nCLM4_GSWP3 [-] 200. 200. 206. 229. -4.44 16.2 0.734 0.70 0.47 0.91 1.0 0.81 0.73\nCLM4SP_GSWP3 [-] 200. 200. 206. 229. -4.44 16.2 0.734 0.70 0.47 0.91 1.0 0.81 0.73\nCLM5_CRUNCEP [-] 211. 211. 206. 229. 6.29 19.0 1.42 0.62 0.47 0.79 0.94 0.58 0.64\nCLM5_GSWP3 [-] 200. 200. 206. 229. -4.44 16.2 0.734 0.70 0.47 0.91 1.0 0.81 0.73\nCLM5SP_CRUNCEP [-] 211. 211. 206. 229. 6.29 19.0 1.42 0.62 0.47 0.79 0.94 0.58 0.64\nCLM5SP_GSWP3 [-] 200. 200. 206. 229. -4.44 16.2 0.734 0.70 0.47 0.91 1.0 0.81 0.73\nBenchmark [-] 216.\nCLM4.5_CRUNCEP [-] 219. 219. 216. 214. 2.76 22.3 0.857 0.71 0.63 0.90 0.82 0.51 0.70\nCLM4.5_GSWP3 [-] 211. 211. 216. 214. -4.62 18.2 0.768 0.82 0.64 0.90 0.99 0.71 0.79\nCLM4.5SP_GSWP3 [-] 211. 211. 216. 214. -4.62 18.2 0.768 0.82 0.64 0.90 0.99 0.71 0.79\nCLM4_CRUNCEP [-] 219. 219. 216. 214. 2.76 22.3 0.857 0.71 0.63 0.90 0.82 0.51 0.70\nCLM4_GSWP3 [-] 211. 211. 216. 214. -4.62 18.2 0.768 0.82 0.64 0.90 0.99 0.71 0.79\nCLM4SP_GSWP3 [-] 211. 211. 216. 214. -4.62 18.2 0.768 0.82 0.64 0.90 0.99 0.71 0.79\nCLM5_CRUNCEP [-] 219. 219. 216. 214. 2.76 22.3 0.857 0.71 0.63 0.90 0.82 0.51 0.70\nCLM5_GSWP3 [-] 211. 211. 216. 214. -4.62 18.2 0.768 0.82 0.64 0.90 0.99 0.71 0.79\nCLM5SP_CRUNCEP [-] 219. 219. 216. 214. 2.76 22.3 0.857 0.71 0.63 0.90 0.82 0.51 0.70\nCLM5SP_GSWP3 [-] 211. 211. 216. 214. -4.62 18.2 0.768 0.82 0.64 0.90 0.99 0.71 0.79\nBenchmark [-] 208.\nCLM4.5_CRUNCEP [-] 212. 212. 211. 183. -2.59 30.2 0.416 0.69 0.71 0.96 0.77 0.65 0.75\nCLM4.5_GSWP3 [-] 209. 208. 211. 183. -7.33 23.1 0.365 0.79 0.73 0.96 1.0 0.70 0.82\nCLM4.5SP_GSWP3 [-] 209. 208. 211. 183. -7.33 23.1 0.365 0.79 0.73 0.96 1.0 0.70 0.82\nCLM4_CRUNCEP [-] 212. 212. 211. 183. -2.59 30.2 0.416 0.69 0.71 0.96 0.77 0.65 0.75\nCLM4_GSWP3 [-] 209. 208. 211. 183. -7.33 23.1 0.365 0.79 0.73 0.96 1.0 0.70 0.82\nCLM4SP_GSWP3 [-] 209. 208. 211. 183. -7.33 23.1 0.365 0.79 0.73 0.96 1.0 0.70 0.82\nCLM5_CRUNCEP [-] 212. 212. 211. 183. -2.59 30.2 0.416 0.69 0.71 0.96 0.77 0.65 0.75\nCLM5_GSWP3 [-] 209. 208. 211. 183. -7.33 23.1 0.365 0.79 0.73 0.96 1.0 0.70 0.82\nCLM5SP_CRUNCEP [-] 212. 212. 211. 183. -2.59 30.2 0.416 0.69 0.71 0.96 0.77 0.65 0.75\nCLM5SP_GSWP3 [-] 209. 208. 211. 183. -7.33 23.1 0.365 0.79 0.73 0.96 1.0 0.70 0.82\nTemporally integrated period mean\nBENCHMARK INTERANNUAL VARIABILITY\nMODEL INTERANNUAL VARIABILITY\nBENCHMARK MAX MONTH\nMODEL MAX MONTH\nDIFFERENCE IN MAX MONTH\nSPATIAL TAYLOR DIAGRAM\nSpatially integrated regional mean\nAfrica - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Asia - Southeast Asia and India Asia - West Siberia Australia Europe Globe Middle East and Sahara North America - Alaska and Northern Canada North America - Central America North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon South America - Southeast South America - Southwest Temporally integrated period mean Temporally integrated period mean max month Temporally integrated mean phase shift Temporally integrated mean phase shift score Interannual variability Interannual variability score Temporally integrated period mean bias Temporally integrated period mean bias score Temporally integrated period mean rmse Temporally integrated period mean rmse score Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean\ncreation_date: Thu May 8 23:22:55 PDT 2014\nConventions: Please contact Prof. James Randerson (Email: jranders@uci.edu) or Dr. Mingquan Mu (mmu@uci.edu) for any question\nsource_file: This product is generated from monthly 1 degree CERES EBAF Radiation observations\ntitle: derived CERES EBAF Radiation\nApproach: I simply read this variable (sfc_sw_down_all_mon: surface all-sky downward shortwave radiation) from original netcdf data file. Meanwhile, the data were also binned from original 1.0x1.0 resolution to final 0.5x0.5 resolution.\nTemporal resolution: monthly\nGeneral information: This product was derived from CERES EBAF radiation dataset.\nSpatial resolution: 0.5x0.5 degree\nDerived data code: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-radiation-ceres.ncl


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Instructions for: directions Esperanza 2000-Chiapa de Corzo,chiapas-Hermenegildo Galeana Juarez,chihuahua\nPlace of departure: Esperanza 2000-Chiapa de Corzo (chiapas)\nPlace of arrival: Hermenegildo Galeana-Juarez (chihuahua)\nSection where are set the place of departure and arrival of the journey: Esperanza 2000-Chiapa de Corzo-Hermenegildo Galeana-Juarez. Order to create a new travel itinerary use the button New\nFor better accuracy write the full address such as: "Street - number, Hermenegildo Galeana-Juarez.\nThe roads to go from Esperanza 2000-Chiapa de Corzo to Hermenegildo Galeana-Juarez are highlighted in light blue.\nit indicates the place of departure (Esperanza 2000-Chiapa de Corzo).\nit indicates the place of arrival (Hermenegildo Galeana-Juarez).\nThis section displays the route from Esperanza 2000-Chiapa de Corzo to Hermenegildo Galeana-Juarez with the information in text format.\nIn information: distance between Esperanza 2000-Chiapa de Corzo and Hermenegildo Galeana-Juarez expressed in either kilometers that in miles; Estimated travel time to go from Esperanza 2000-Chiapa de Corzo to Hermenegildo Galeana-Juarez.\n«directions Esperanza 2000-Chiapa de Corzo,chiapas-Hermenegildo Galeana-Juarez,chihuahua»\nChanges, the place of arrival. (Departure from: Esperanza 2000-Chiapa de Corzo,chiapas)


Oustanding TICA Registered F1 Savannah For Sale in Bakersfield, California, United States\nUnited States> California > Bakersfield > Classifieds in Bakersfield > For Sale in Bakersfield > Animals in Bakersfield > Oustanding TICA Registered F1 Savannah For Sale\nOustanding TICA Registered F1 Savannah For Sale....We do have hand tamed and quality health breed Animals Sale.. Well adjusted animals guaranteed at reasonable prices. These pets are raised in our home, under foot, loving temperaments and excellent health, guaranteed. Local\nCreated in 3.5907390118 seconds


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SN 2019wku | Transient Name Server\nRelated AstroNotes: 2019-155\n▌SN_2019wku - 2019-12-18 03:44:10 ESO-NTT / EFOSC2-NTT (ePESSTO+)z=\n▌SN_2019wku - 2019-12-17 05:35:45 P60 / SEDM (ZTF)z=\nw-PS1 PS1_GPC1 2020-01-30 05:36:57 - 2020-01-30 05:36:57 1\norange-ATLAS ATLAS1_ACAM1 2019-12-08 08:45:36 - 2019-12-09 08:42:43 2\ng-ZTF P48_ZTF-Cam 2019-11-24 06:56:38 - 2019-12-14 05:01:15 2\nr-ZTF P48_ZTF-Cam 2019-12-16 06:16:29 - 2019-12-16 06:16:29 1\n60742 2020-01-31 17:08:25 PS1_Bot1 K. C. Chambers, T. de Boer, J. Bulger, J. Fairlamb, M. Huber, C.-C. Lin, T. Lowe, E. Magnier, A. Schultz, R. J. Wainscoat, M. Willman (IfA, University of Hawaii), K. W. Smith, D. R. Young, O. McBrien, J. Gillanders. S. Srivastav, S. J. Smartt, D. O'Neill, P. Clark, S. Sim (Queen's University Belfast), D. E. Wright (University of Minnesota) Pan-STARRS1 Pan-STARRS1 05:17:21.476 +12:31:02.56 2020-01-30 05:36:57.000 19.38 w-PS1 PSN PS20mm Pan-STARRS1\n54859 2019-12-18 10:55:44 ZTF_AMPEL_COMPLETE J. Nordin, V. Brinnel, M. Giomi, J. van Santen (HU Berlin), A. Gal-Yam, O. Yaron, S. Schulze (Weizmann) on behalf of ZTF ZTF ZTF 05:17:21.477 +12:31:02.54 2019-12-14 05:01:15.000 18.4 g-ZTF PSN ZTF19acylgic ZTF See arXiv:1904.05922 for selection criteria.\n54339 2019-12-11 20:13:01 ATLAS_Bot1 J. Tonry, L. Denneau, A. Heinze, H. Weiland, H. Flewelling (IfA, University of Hawaii), B. Stalder (LSST), A. Rest (STScI), C. Stubbs (Harvard University), K. W. Smith, S. J. Smartt, D. R. Young, S. Srivastav, O. McBrien, D. O'Neill, P. Clark, M. Fulton, J. Gillanders, M. Dobson (Queen's University Belfast), T.-W. Chen (MPE), D. E. Wright (University of Minnesota), J. Anderson (ESO) ATLAS ATLAS 05:17:21.489 +12:31:02.39 2019-12-09 08:42:43.000 18.291 orange-ATLAS PSN ATLAS19bdbq ATLAS\n5701 2019-12-20 01:19:44 ZTF_Bot1 A. Dahiwale, C. Fremling (Caltech) on behalf of the Zwicky Transient Facility (ZTF) ZTF SN Ia 0.039 ZTF 2019TNSCR2902....1D\n5691 2019-12-18 17:53:22 ePESSTOplus_Bot1 Tomas Muller, Phil Wiseman, Miika Pursiainen, O. Yaron on behalf of ePESSTO+ ePESSTO+ SN Ia 0.036 ePESSTO+ 2019TNSCR2640....1M\nFri, 01/31/2020 - 17:08\nObject coordinates updated according to AT-report 60742 of Group Pan-STARRS1\nPrevious RA, DEC: 05:17:21.477, +12:31:02.54 (79.339487, +12.517370933333)\nUpdated RA, DEC: 05:17:21.476, +12:31:02.56 (79.3394850174, 12.5173764834)\nWed, 12/18/2019 - 10:55\nObject coordinates updated according to AT-report 54859 of Group ZTF\nPrevious RA, DEC: 05:17:21.489, +12:31:02.39 (79.3395385714, +12.5173314286)\nUpdated RA, DEC: 05:17:21.477, +12:31:02.54 (79.339487, 12.517370933333)


35 Elementary Schools found within 3 miles radius.\nElementary Schools near Earll Place Historic District\n3738 N. 16TH Street, Phoenix, AZ 85016 Charter K-8 642 0 0.58\n2140 E. Virginia Ave., Phoenix, AZ 85006 Public K-8 766 16 0.82\n2002 E. Clarendon Avenue, Phoenix, AZ 85016 Public PK, K-8 965 17 0.85\n2000 N. 16TH Street, Phoenix, AZ 85006 Public PK, K-6 502 20 0.96\n1209 East Indian School Road, Phoenix, AZ 85014 Alt. PK, K-8 558 15 1.05\n1431 E. Campbell, Phoenix, AZ 85014 Public 1-8 717 19 1.24\n2311 E Palm Lane, Phoenix, AZ 85006 Private PK, K-8 237 17 1.37\n2181 East McDowell Road, Phoenix, AZ 85006 Public K-8 941 17 1.41\n2002 E. Campbell, Phoenix, AZ 85016 Public PK, K-3 716 21 1.48\n915 E Palm Lane, Phoenix, AZ 85006 Public PK, K-6 590 17 1.49\n2425 N 26TH St, Phoenix, AZ 85008www.phoenixchristianschool.org Private K-8 94 9 1.53\n2702 E. Osborn, Phoenix, AZ 85016 Public K-8 745 16 1.65\n3609 N. 27TH St., Phoenix, AZ 85016 Public K-8 8 4 1.67\n715 E. Montecito, Phoenix, AZ 85014 Public PK, K-8 502 15 1.69\n4510 N 24TH St, Phoenix, AZ 85016 Private K-8 630 20 1.69\n2536 N. 3rd Street, Phoenix, AZ 85004 Charter K-8 163 0 1.75\n804 N. 18TH Street, Phoenix, AZ 85006 Public PK, K-7 551 16 1.79\n725 E. Brill St., Phoenix, AZ 85006 Charter K-1 0 0 1.84\n811 N 13TH Street, Phoenix, AZ 85006 Public PK, K-6 457 17 1.84\n2802 E. McDowell Roaad, Phoenix, AZ 85008 Public K-8 982 17 2.11\n1875 North Central Avenue, Phoenix, AZ 85004 Charter K-12 138 0 2.16\n1875 North Central, Phoenix, AZ 85004 Charter 3-9 0 0 2.16\n1313 N 2nd St 17, Phoenix, AZ 85004 Charter K-6 187 0 2.19\n1313 North 2nd Street Suite 2, Phoenix, AZ 85004 Charter K-12 247 0 2.19\n2801 N. 31ST Street, Phoenix, AZ 85008 Charter K-12 126 0 2.19\n1800 E Van Buren, Phoenix, AZ 85006 Public K-12 105 53 2.21\n4535 N. 28TH Street, Phoenix, AZ 85016 Charter K-8 485 0 2.22\n3120 N 32ND St, Phoenix, AZ 85018 Charter K-8 102 0 2.25\n5525 N 16TH Street, Phoenix, AZ 85016 Public 5-8 916 24 2.34\n5525 N. 16TH Street, Phoenix, AZ 85016 Public K-8 175 25 2.37\n4530 N. Central Ave, Phoenix, AZ 85012 Charter K-9 0 0 2.37\n707 W. Grant, Phoenix, AZ 85006 Public PK, K-7 235 17 2.38\n735 E Fillmore, Phoenix, AZ 85006 Alt. 6-8 672 14 2.38\n123 North 13TH Street, Phoenix, AZ 85034 Public PK, K-6 505 16 2.4\n4715 N Central Ave, Phoenix, AZ 85012 Private K-8 545 20 2.46\nMiddle Schools near Earll Place Historic District\n2645 E Osborn Rd, Phoenix, AZ 85064 Private 8-12 58 7 1.51\n1830 E Roosevelt Rd, Phoenix, AZ 85006www.ydl.org Private, Alternative 6-12 102 9 1.72\n1313 North 2nd Street, Phoenix, AZ 85004 Charter 6-12 372 0 2.19\n5310 N 12TH Street, Phoenix, AZ 85014 Charter 7-12 107 0 2.33\n735 E Fillmore St., Phoenix, AZ 85006 Public 7-8 21 4 2.38\nHigh Schools near Earll Place Historic District\n1101 East Thomas Road, Phoenix, AZ 85014 Public 9-12 2558 19 0.97\n3525 N 27TH Ave, Phoenix, AZ 85016 Sp-Ed 9-12 0 0 1.58\n2525 N 3rd St, Phoenix, AZ 85004 Private 9-12 840 21 1.71\n728 E. McDowell Rd., Phoenix, AZ 85006 Charter 9-12 378 0 1.71\n1830 E Roosevelt Rd, Phoenix, AZ 85006 www.ydl.org Private, Alternative 6-12 102 9 1.72\n417 N 16TH St, Phoenix, AZ 85006 Charter 9-12 140 0 2.03\n4612 N. 28TH Street, Phoenix, AZ 85016 Public 9-12 2119 17 2.09\n4710 N 5th St, Phoenix, AZ 85012www.xcp.org Private 9-12 1171 13 2.13\n1505 N. Central Avenue Suite #, Phoenix, AZ 85004 Public 10-12 155 22 2.29\n735 East Fillmore, Phoenix, AZ 85012 Public 9-10 105 14 2.35\n512 E. Pierce, Phoenix, AZ 85004 Alt. 9-12 0 0 2.38\n5201 N. 7th Street, Phoenix, AZ 85014 Charter 9-12 251 0 2.41\n5201 N. 7th Street, Phoenix, AZ 85014 Charter 9-12 18 0 2.43\n4701 N Central Ave, Phoenix, AZ 85012 Private 9-12 1270 15 2.45


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Country name 1991 1992 1993 1994 1995 Afghanistan 0.62 0.58 0.53 0.49 0.46 Albania 0.18 0.18 0.18 0.18 0.18 Algeria 0.27 0.28 0.27 0.26 0.26 American Samoa 0.02 0.02 0.02 0.02 0.03 Andorra 0.04 0.03 0.03 0.03 0.03 Angola 0.26 0.25 0.24 0.24 0.23 Antigua and Barbuda 0.06 0.06 0.06 0.06 0.06 Argentina 0.80 0.80 0.79 0.78 0.77 Armenia 0.12 0.13 0.13 0.13 Aruba 0.03 0.03 0.03 0.03 0.02 Australia 2.64 2.70 2.62 2.65 2.22 Austria 0.19 0.18 0.18 0.18 0.18 Azerbaijan 0.23 0.23 0.23 0.22 Bahamas, The 0.03 0.03 0.03 0.02 0.02 Bahrain 0.00 0.00 0.00 0.00 0.00 Bangladesh 0.09 0.08 0.07 0.07 0.07 Barbados 0.06 0.06 0.06 0.06 0.06 Belarus 0.60 0.60 0.61 0.61 Belgium Belize 0.28 0.29 0.30 0.30 0.30 Benin 0.31 0.30 0.30 0.29 0.30 Bermuda 0.01 0.01 0.01 0.01 0.01 Bhutan 0.25 0.26 0.26 0.27 0.29 Bolivia 0.30 0.30 0.30 0.32 0.34 Bosnia and Herzegovina 0.20 0.21 0.21 0.22 Botswana 0.21 0.17 0.23 0.26 0.22 Brazil 0.34 0.33 0.33 0.33 0.36 Brunei Darussalam 0.01 0.01 0.01 0.01 0.01 Bulgaria 0.45 0.47 0.48 0.47 0.48 Burkina Faso 0.38 0.37 0.36 0.34 0.33 Burundi 0.16 0.16 0.15 0.15 0.15 Cabo Verde 0.12 0.11 0.11 0.11 0.11 Cambodia 0.40 0.38 0.37 0.36 0.35 Cameroon 0.48 0.47 0.45 0.44 0.43 Canada 1.62 1.60 1.58 1.56 1.55 Cayman Islands 0.01 0.01 0.01 0.01 0.01 Central African Republic 0.64 0.62 0.61 0.59 0.58 Chad 0.54 0.53 0.51 0.50 0.49 Chile 0.20 0.18 0.17 0.16 0.15 China 0.11 0.11 0.10 0.10 0.10 Colombia 0.09 0.09 0.08 0.08 0.06 Comoros 0.15 0.15 0.14 0.14 0.14 Congo, Dem. Rep. 0.18 0.18 0.17 0.16 0.16 Congo, Rep. 0.20 0.19 0.19 0.18 0.17 Costa Rica 0.08 0.08 0.07 0.07 0.06 Cote d'Ivoire 0.19 0.20 0.21 0.21 0.21 Croatia 0.27 0.23 0.24 0.24 Cuba 0.32 0.33 0.34 0.34 0.34 Curacao Cyprus 0.14 0.13 0.13 0.12 0.12 Czech Republic 0.32 0.32 0.32 Denmark 0.49 0.49 0.49 0.45 0.44 Djibouti 0.00 0.00 0.00 0.00 0.00 Dominica 0.06 0.06 0.06 0.06 0.04 Dominican Republic 0.12 0.12 0.12 0.12 0.12 Ecuador 0.16 0.15 0.14 0.14 0.14 Egypt, Arab Rep. 0.04 0.04 0.05 0.05 0.05 El Salvador 0.11 0.11 0.11 0.11 0.10 Equatorial Guinea 0.33 0.32 0.31 0.30 0.29 Eritrea 0.16 0.14 0.14 Estonia 0.73 0.71 0.65 0.61 Ethiopia 0.21 0.21 0.19 0.18 0.17 Faroe Islands 0.06 0.06 0.07 0.07 0.07 Fiji 0.23 0.24 0.24 0.24 0.23 Finland 0.46 0.45 0.45 0.45 0.42 France 0.30 0.30 0.31 0.31 0.31 French Polynesia 0.01 0.01 0.01 0.01 0.01 Gabon 0.30 0.29 0.29 0.28 0.30 Gambia, The 0.21 0.17 0.16 0.17 0.17 Georgia 0.16 0.16 0.16 0.16 Germany 0.14 0.14 0.14 0.14 0.14 Ghana 0.19 0.18 0.18 0.17 0.18 Greece 0.28 0.28 0.27 0.27 0.27 Greenland 0.01 0.01 0.01 0.01 0.01 Grenada 0.02 0.02 0.02 0.02 0.02 Guam 0.01 0.01 0.01 0.01 0.01 Guatemala 0.14 0.14 0.13 0.13 0.13 Guinea 0.44 0.42 0.39 0.37 0.35 Guinea-Bissau 0.23 0.23 0.24 0.24 0.24 Guyana 0.67 0.67 0.67 0.66 0.66 Haiti 0.11 0.11 0.10 0.10 0.10 Honduras 0.30 0.29 0.32 0.30 0.29 Hong Kong SAR, China 0.00 0.00 0.00 0.00 0.00 Hungary 0.49 0.46 0.46 0.46 0.47 Iceland 0.53 0.52 0.51 0.51 0.50 India 0.18 0.18 0.18 0.17 0.17 Indonesia 0.10 0.10 0.09 0.09 0.09 Iran, Islamic Rep. 0.29 0.29 0.29 0.29 0.29 Iraq 0.30 0.29 0.29 0.26 0.24 Ireland 0.29 0.28 0.29 0.28 0.29 Isle of Man 0.28 0.28 0.27 0.27 0.26 Israel 0.07 0.07 0.07 0.06 0.06 Italy 0.16 0.15 0.15 0.15 0.15 Jamaica 0.05 0.06 0.07 0.07 0.06 Japan 0.04 0.04 0.04 0.04 0.04 Jordan 0.04 0.07 0.06 0.05 0.06 Kazakhstan 2.13 2.15 2.15 2.20 Kenya 0.21 0.21 0.20 0.20 0.20 Kiribati 0.03 0.03 0.03 0.03 0.03 Korea, Dem. People’s Rep. 0.11 0.11 0.11 0.11 0.11 Korea, Rep. 0.04 0.04 0.04 0.04 0.04 Kuwait 0.00 0.00 Kyrgyz Republic 0.29 0.30 0.29 0.28 Lao PDR 0.18 0.18 0.17 0.17 0.17 Latvia 0.65 0.66 0.68 0.40 Lebanon 0.07 0.06 0.06 0.06 0.06 Lesotho 0.20 0.20 0.19 0.19 0.18 Liberia 0.17 0.17 0.17 0.17 0.17 Libya 0.40 0.39 0.39 0.38 0.38 Liechtenstein 0.14 0.14 0.13 0.13 0.13 Lithuania 0.78 0.77 0.71 0.79 Luxembourg Macao SAR, China Macedonia, FYR 0.31 0.31 0.31 0.31 Madagascar 0.23 0.23 0.23 0.22 0.22 Malawi 0.24 0.24 0.24 0.22 0.23 Malaysia 0.05 0.05 0.05 0.05 0.05 Maldives 0.01 0.01 0.01 0.01 0.01 Mali 0.24 0.24 0.34 0.34 0.34 Malta 0.03 0.03 0.03 0.03 0.03 Marshall Islands 0.02 0.02 0.02 0.02 0.02 Mauritania 0.20 0.20 0.20 0.21 0.21 Mauritius 0.09 0.09 0.09 0.08 0.08 Mexico 0.26 0.25 0.25 0.24 0.24 Micronesia, Fed. Sts. 0.03 0.02 0.02 0.02 0.02 Moldova 0.47 0.47 0.48 0.48 Monaco Mongolia 0.62 0.61 0.60 0.58 0.57 Montenegro Morocco 0.34 0.35 0.34 0.34 0.33 Mozambique 0.26 0.25 0.24 0.23 0.23 Myanmar 0.22 0.22 0.22 0.22 0.21 Namibia 0.45 0.44 0.45 0.47 0.49 Nepal 0.12 0.12 0.11 0.11 0.11 Netherlands 0.06 0.06 0.06 0.06 0.06 New Caledonia 0.05 0.05 0.04 0.04 0.04 New Zealand 0.67 0.59 0.54 0.47 0.43 Nicaragua 0.31 0.30 0.30 0.30 0.36 Niger 1.48 1.54 1.49 1.44 1.49 Nigeria 0.31 0.30 0.29 0.29 0.30 Northern Mariana Islands 0.02 0.02 0.02 0.02 0.02 Norway 0.21 0.20 0.21 0.21 0.23 Oman 0.02 0.02 0.01 0.01 0.01 Pakistan 0.27 0.26 0.26 0.25 0.25 Palau 0.06 0.06 0.06 0.06 0.06 Panama 0.20 0.19 0.19 0.19 0.18 Papua New Guinea 0.05 0.04 0.04 0.04 0.04 Paraguay 0.50 0.52 0.51 0.53 0.55 Peru 0.16 0.16 0.16 0.15 0.16 Philippines 0.09 0.08 0.08 0.08 0.08 Poland 0.38 0.37 0.37 0.37 0.37 Portugal 0.23 0.23 0.22 0.22 0.21 Puerto Rico 0.02 0.01 0.01 0.01 0.01 Qatar 0.02 0.02 0.03 0.03 0.03 Romania 0.41 0.41 0.41 0.41 0.41 Russian Federation 0.89 0.87 0.87 0.86 Rwanda 0.12 0.13 0.13 0.12 0.12 Samoa 0.12 0.10 0.10 0.10 0.10 San Marino 0.04 0.04 0.04 0.04 0.04 Sao Tome and Principe 0.02 0.02 0.02 0.02 0.03 Saudi Arabia 0.21 0.21 0.21 0.20 0.19 Senegal 0.38 0.38 0.37 0.37 0.35 Serbia Seychelles 0.01 0.01 0.01 0.01 0.01 Sierra Leone 0.12 0.12 0.12 0.13 0.13 Singapore 0.00 0.00 0.00 0.00 0.00 Sint Maarten (Dutch part) Slovak Republic 0.29 0.29 0.29 Slovenia 0.10 0.10 0.10 0.10 Solomon Islands 0.03 0.03 0.03 0.03 0.03 Somalia 0.16 0.16 0.16 0.16 0.16 South Africa 0.36 0.36 0.36 0.35 0.35 South Sudan Spain 0.39 0.39 0.38 0.38 0.36 Sri Lanka 0.05 0.05 0.05 0.05 0.05 St. Kitts and Nevis 0.20 0.19 0.19 0.17 0.16 St. Lucia 0.02 0.02 0.02 0.02 0.01 St. Martin (French part) St. Vincent and the Grenadines 0.04 0.04 0.05 0.05 0.05 Sudan 0.48 0.47 0.52 0.51 0.54 Suriname 0.14 0.13 0.13 0.13 0.13 Swaziland 0.21 0.20 0.19 0.19 0.18 Sweden 0.32 0.32 0.32 0.32 0.31 Switzerland 0.06 0.06 0.06 0.06 0.06 Syrian Arab Republic 0.37 0.36 0.35 0.35 0.33 Tajikistan 0.16 0.15 0.15 0.15 Tanzania 0.34 0.32 0.32 0.31 0.30 Thailand 0.31 0.30 0.29 0.29 0.28 Timor-Leste 0.16 0.15 0.15 0.15 0.15 Togo 0.54 0.53 0.54 0.53 0.51 Tonga 0.17 0.17 0.17 0.17 0.17 Trinidad and Tobago 0.03 0.03 0.03 0.03 0.03 Tunisia 0.35 0.34 0.35 0.32 0.32 Turkey 0.45 0.44 0.43 0.43 0.42 Turkmenistan 0.38 0.40 0.41 0.42 Turks and Caicos Islands 0.08 0.08 0.07 0.07 0.07 Tuvalu Uganda 0.28 0.27 0.26 0.26 0.25 Ukraine 0.64 0.64 0.64 0.65 United Arab Emirates 0.02 0.02 0.02 0.02 0.02 United Kingdom 0.11 0.11 0.11 0.10 0.10 United States 0.73 0.72 0.70 0.69 0.68 Uruguay 0.40 0.40 0.40 0.40 0.40 Uzbekistan 0.21 0.20 0.20 0.20 Vanuatu 0.13 0.13 0.13 0.12 0.12 Venezuela, RB 0.14 0.13 0.12 0.12 0.12 Vietnam 0.08 0.08 0.08 0.08 0.08 Virgin Islands (U.S.) 0.04 0.04 0.04 0.03 0.03 West Bank and Gaza 0.05 0.05 0.05 0.04 0.04 Yemen, Rep. 0.12 0.10 0.12 0.11 0.11 Zambia 0.33 0.32 0.32 0.32 0.29 Zimbabwe 0.27 0.27 0.27 0.27 0.27 1981-1985


Vrac (min 1000 timbres) - Nepal KILOWARE StampBag 500g (1LB-1½oz) KILOWARE\nNepal KILOWARE StampBag 500g (1LB-1½oz) KILOWARE (Numéro d'objet: #677602294)\nThe Top Kiloware category: Stampbag Contains almost only large and commemorative stamps.Link Kiloware A-ZLink NEPALFixed Price or Best Offer? Is it possible to make a lower price offer? YES! Est-il possible de faire une proposition des prix inférieurs ? OUI! ¿ Es posible hacer una oferta del precio bajo?...\nDébut de la vente : dimanche 2 décembre 2018 à 21:18\nDernière actualisation : 16:59:51\n± 194,11 $US 171,60 €\nEurope-West KILOWARE MissionBag 1 KG (2LB-3oz) +small countries [vrac kilowaar kilovara]\nBelgium KILOWARE GoldBag 2.5KG (5LB-8oz) Railways stamps (mostly bills 1960-62) ca.500 bills [vrac kilowaar kilovara]\nNetherlands KILOWARE DjungelBag 18 KG (39LB) stamp mixture [vrac kilowaar kilovara mixture]\n± 320,34 $US\nChannel Islands KILOWARE MissionBag 500g (1LB-1½oz) modern [vrac kilowaar kilovara]\nSwitzerland KILOWARE MissionBag 2.5 KG (5LB-8oz) modern stamps mixture [vrac kilowaar kilovara]\nAustralia GoldBag 500g (1LB-1½oz) - mostly "international post stamps" KILOWARE\n± 229,63 $US\nGermany Goldbag 500g (1LB-1½oz) semi-postals KILOWARE [Vrac Massenware mezclas sellos alla rinfusa kilowaar kilovara]\n± 161,76 $US\nGermany KILOWARE Djungelbag 1KG (2LB-3oz) definitives Deutschland BRD [vrac kilowaar kilovara mixture]


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bhagavān — representando al Señor — VERSO 7\nbhagavān — el representante del Señor — VERSO 8\nbhagavān — la poderosa personalidad — VERSO 40\nbhagavān — La Personalidad de Dios — VERSO 5, VERSO 35\nbhagavān — La Suprema Personalidad de Dios — VERSO 6\nbhagavān — Brahmā, la gran personalidad — VERSO 34\nbhagavān — lleno de conocimiento — VERSO 16\nbhagavān — poderoso como el Señor — VERSO 10\nbhagavān — el Señor Śrī Kṛṣṇa — VERSO 20, VERSO 17\nbhagavān — el gran semidiós — VERSOS 43-45\nbhagavān — la Personalidad de Dios, Śrī Kṛṣṇa — VERSO 4\nbhagavān — Su Gracia — VERSOS 49-50, VERSO 1\nbhagavān — el Señor — VERSO 22, VERSO 15, VERSO 33, VERSO 37, VERSO 5, VERSO 6, VERSO 8, VERSO 22, VERSO 32\nbhagavān — ¡oh, tú, el grande! — VERSO 2\nbhagavān — el gran sabio — VERSO 17\nbhagavān — el muy poderoso — VERSO 20, VERSO 35, VERSO 2, VERSO 10, VERSO 60, VERSO 30, VERSOS 42-44, VERSO 56, VERSO 41, VERSO 30, VERSO 3, VERSO 15, VERSOS 22-23, VERSO 13, VERSO 3, VERSO 8, VERSO 6, VERSO 35, VERSOS 33-36, VERSO 16, VERSO 20, VERSO 27, VERSO 17, VERSO 17, VERSO 26, VERSO 14, VERSO 1, VERSO 57, VERSO 2, VERSO 24, VERSO 18, VERSO 18, VERSO 4, VERSO 6, VERSO 19, VERSO 21, VERSO 34, VERSOS 38-39, VERSO 21, VERSO 31, VERSO 11, VERSO 3, VERSO 22, VERSO 25, VERSO 27, VERSO 14, VERSO 5\nbhagavān — la Suprema Personalidad de Dios — VERSO 6, VERSO 3, VERSO 41, VERSO 47, VERSO 15, VERSO 37, VERSO 17, VERSO 29, VERSO 32, VERSO 36, VERSO 37, VERSO 9, VERSO 11, VERSO 16, VERSO 22, VERSO 8, VERSO 20, VERSO 2, VERSO 6, VERSO 1, VERSO 9, VERSO 17, VERSO 18, VERSO 34, VERSO 2, VERSO 26, VERSO 33, VERSO 9, VERSO 12, VERSO 33, VERSO 23, VERSO 40, VERSOS 59-60, VERSO 18, VERSO 52, VERSO 30, VERSO 4, VERSO 18, VERSO 19, VERSO 3, VERSO 19, VERSO 37, VERSO 30, VERSO 46, VERSO 30, VERSO 36, VERSO 2, VERSO 16, VERSO 19, VERSO 20, VERSO 3, VERSO 8, VERSO 14, VERSO 19, VERSO 28, VERSO 35, VERSO 18, VERSO 9, VERSOS 13-14, VERSO 12, VERSO 14, VERSO 7, VERSO 13, VERSO 29, VERSO 34, VERSO 6, VERSO 9, VERSO 40, VERSO 41, VERSO 22, VERSO 27, VERSO 6, VERSO 13, VERSO 30, VERSOS 1-2, VERSO 33, VERSOS 35-39, VERSO 54, VERSO 12, VERSO 18, VERSO 22, VERSO 31, VERSOS 32-33, VERSO 34, VERSO 1, VERSO 49, VERSO 65, VERSO 21, VERSOS 33-34, VERSO 5, VERSOS 20-23, VERSO 9, VERSO 24, VERSO 31, VERSO 61, VERSO 7, VERSO 3, VERSO 5, VERSO 6, VERSO 25, VERSO 30, VERSO 32, VERSO 4, VERSO 9, VERSO 46, VERSO 1, VERSO 26, VERSO 37, VERSO 53, VERSO 23, VERSO 37, VERSO 62, VERSO 4, VERSO 11, VERSO 21, VERSO 23, VERSO 1, VERSO 30, VERSOS 32-33, VERSO 28, VERSO 4, VERSO 9, VERSO 27, VERSO 54, VERSO 22, VERSO 34, VERSO 11, VERSO 15, VERSO 49, VERSO 2, VERSO 30, VERSO 1, VERSO 16, VERSO 24, VERSO 35, VERSO 30, VERSO 40, VERSO 27, VERSOS 12-14, VERSO 56, VERSO 60, VERSO 3, VERSO 9, VERSO 28, VERSO 16, VERSO 41, VERSO 10, VERSOS 25-26, VERSOS 37-38, VERSOS 39-40, VERSOS 1-2, VERSO 27, VERSO 36, VERSO 21, VERSOS 30-31, VERSO 39, VERSO 9, VERSO 25, VERSO 30, VERSO 14, Verso 3, Verso 20, Verso 57, Verso 5, Verso 8, Verso 10, Verso 23, Verso 60, Verso 65, Verso 67, Verso 70, Verso 71, Verso 106, Verso 5, Verso 39, Verso 10, Verso 11-12, Verso 36-37, Verso 66, Verso 88, Verso 4, Verso 84, Verso 7, Verso 111, Verso 139, Verso 141, Verso 19, Verso 38, Verso 38, Verso 108, Verso 314, Verso 1, Verso 99, Verso 140, Verso 145-146, Verso 147, Verso 147, Verso 178, Verso 196, Verso 235, Verso 95, Verso 100, Verso 134, Verso 227, Verso 132, Verso 138, Verso 143, Verso 118, Verso 185, Verso 277, Verso 5, Verso 206, Verso 225, Verso 155, Verso 156, Verso 157, Verso 165, Verso 266, Verso 337, Verso 110, Verso 86, Verso 80, Verso 86, Verso 91, Verso 133, Verso 134, Verso 67, Verso 68, Verso 119, Verso 124, Verso 23, Verso 27, Verso 118, Verso 5, Verso 121, Verso 64, Verso 83, Verso 110\nbhagavān — ¡oh, espiritualmente poderoso! — VERSO 17\nbhagavān — el sumamente poderoso — VERSO 15\nbhagavān — el sumamente opulento — VERSO 13\nbhagavān — la personificación de todas las opulencias — VERSO 36\nbhagavān — aquel que posee toda opulencia — VERSO 11\nbhagavān — digno de adoración — VERSO 29, VERSO 4\nbhagavān — el adorable Brahmā — VERSO 21\nbhagavān — el adorable Señor Brahmā — VERSO 38\nbhagavān — el Señor Brahmā — VERSO 40, VERSO 10\nbhagavān — el más adorable — VERSO 42\nbhagavān — adorable — VERSO 5, VERSO 21\nbhagavān — el venerable — VERSO 6\nbhagavān — Tu Señoría — VERSO 5, VERSO 51, VERSO 15\nbhagavān — todopoderoso — VERSO 6\nbhagavān — Señor Supremo — VERSO 20\nbhagavān — el muy afortunado — VERSO 31\nbhagavān — Suprema Personalidad de Dios — VERSO 29, VERSO 27, Verso 145, Verso 85\nbhagavān — a la Suprema Personalidad de Dios — VERSOS 34-36, VERSO 19, VERSO 45, Verso 81, Verso 251, Verso 164\nbhagavān — el muy opulento — VERSO 3\nbhagavān — la gran personalidad — VERSO 11\nbhagavān — gran personalidad — VERSO 28\nbhagavān — muy poderoso — VERSO 35, VERSO 45, VERSO 12, VERSO 9, VERSO 20, VERSO 14, VERSOS 33-35, VERSO 5\nbhagavān — quien posee todas las opulencias — VERSO 7\nbhagavān — el que posee todas las opulencias — VERSO 33\nbhagavān — el poseedor de todas las opulencias — VERSO 23\nbhagavān — el poseedor de toda opulencia — VERSO 32, VERSO 19\nbhagavān — el que posee toda opulencia (el Señor Śiva) — VERSO 4\nbhagavān — Vīrabhadra — VERSO 20\nbhagavān — el que posee toda opulencia — VERSO 3\nbhagavān — el Señor Viṣṇu — VERSO 49\nbhagavān — el Señor, con la plenitud de seis opulencias — VERSO 15\nbhagavān — Kuvera — VERSO 1\nbhagavān — tan excelso como la Suprema Personalidad de Dios — VERSO 40


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The lunar calendar on 30 march 2021 - Yerevan\n30.03.2021 12:00 c. Yerevan\nin sign ♏ Scorpio 01°31'\nmoonrise 29.03 20:18\nmoonset 30.03 07:55\nto moon 360 299,79 km\nLike yesterday, the ☽ Moon in the sign of ♎ Libra 24°02'07"\nContinues the diver. aspect of the ☽ Moon ∆ ♃ Jupiter (118°46')\nContinues the conv. aspect of the ☽ Moon ☐ ♇ Pluto (92°34')\n01:15 The end of the aspect ☽ Moon ∆ ♃ Jupiter (118°00')\n07:19 The end of the aspect ☽ Moon ☐ ♇ Pluto (88°00')\n09:33 ☽ Moon in the sign of ♏ Scorpio\n14:14 Beginning of the aspect of the ☽ Moon ☍ ♅ Uranus (174°00')\n17:58 Beginning of the aspect of the ☽ Moon ☐ ♄ Saturn (96°00')\n21:34 The beginning of the 18 lunar day\nContinues the diver. aspect of the ☽ Moon trine ♃ Jupiter (118°46')\nContinues the conv. aspect of the ☽ Moon square ♇ Pluto (92°34')


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Sloane v. Ruiz, 08 Civ. 9305 | New York Law Journal\nSloane v. Ruiz, 08 Civ. 9305\nPlaintiff Was Accorded Full Procedural Protections Against False Statement in Parole Violation Report


[Re:] [bkercso:] TicTac UFO - mi lehet ez? - PROHARDVER! Hozzászólások


Bookmobile Stop – West Baton Rouge Council on Aging – Calendar – West Baton Rouge Library\nBookmobile Stop – West Baton Rouge Council on Aging\n11:30 AM - 12:30 PM West Baton Rouge Council on Aging\nThe West Baton Rouge Parish Library’s Bookmobile stops at the West Baton Rouge Council on Aging every other Tuesday from 11:00 a.m. to 12:00 p.m.. Stop by to check out a selection of books, magazines, and DVDs. To request items for delivery, call (225)342-7920 ext. 218.


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