Solve the following sql problem:
In 2014, what is the shortest duration of trips by subscribers which started at 2nd at Folsom and ended in the 5th at Howard stations, and by how much shorter than the average? Give me the minimum temperature, maximum gust speed and weather event on that trip.

Schema:
SCHEMA:
- Table: station
  - Column: id
    - Samples: [2, 3, 4, 5, 6]
  - Column: name
    - Samples: [San Jose Diridon Caltrain Station, San Jose Civic Center, Santa Clara at Almaden, Adobe on Almaden, San Pedro Square]
  - Column: lat
    - Samples: [37.329732, 37.330698, 37.333988, 37.331415, 37.336721000000004]
  - Column: long
    - Samples: [-121.90178200000001, -121.888979, -121.894902, -121.8932, -121.894074]
  - Column: dock_count
    - Samples: [27, 15, 11, 19, 15]
  - Column: city
    - Samples: [San Jose, San Jose, San Jose, San Jose, San Jose]
  - Column: installation_date
    - Samples: [8/6/2013, 8/5/2013, 8/6/2013, 8/5/2013, 8/7/2013]
- Table: status
  - Column: station_id
    - Samples: [2, 2, 2, 2, 2]
  - Column: bikes_available
    - Samples: [2, 2, 2, 2, 2]
  - Column: docks_available
    - Samples: [25, 25, 25, 25, 25]
  - Column: time
    - Samples: [2013/08/29 12:06:01, 2013/08/29 12:07:01, 2013/08/29 12:08:01, 2013/08/29 12:09:01, 2013/08/29 12:10:01]
- Table: trip
  - Column: id
    - Samples: [4069, 4073, 4074, 4075, 4076]
  - Column: duration
    - Samples: [174, 1067, 1131, 1117, 1118]
  - Column: start_date
    - Samples: [8/29/2013 9:08, 8/29/2013 9:24, 8/29/2013 9:24, 8/29/2013 9:24, 8/29/2013 9:25]
  - Column: start_station_name
    - Samples: [2nd at South Park, South Van Ness at Market, South Van Ness at Market, South Van Ness at Market, South Van Ness at Market]
  - Column: start_station_id
    - Samples: [64, 66, 66, 66, 66]
  - Column: end_date
    - Samples: [8/29/2013 9:11, 8/29/2013 9:42, 8/29/2013 9:43, 8/29/2013 9:43, 8/29/2013 9:43]
  - Column: end_station_name
    - Samples: [2nd at South Park, San Francisco Caltrain 2 (330 Townsend), San Francisco Caltrain 2 (330 Townsend), San Francisco Caltrain 2 (330 Townsend), San Francisco Caltrain 2 (330 Townsend)]
  - Column: end_station_id
    - Samples: [64, 69, 69, 69, 69]
  - Column: bike_id
    - Samples: [288, 321, 317, 316, 322]
  - Column: subscription_type
    - Samples: [Subscriber, Subscriber, Subscriber, Subscriber, Subscriber]
  - Column: zip_code
    - Samples: [94114, 94703, 94115, 94122, 94597]
- Table: weather
  - Column: date
    - Samples: [8/29/2013, 8/30/2013, 8/31/2013, 9/1/2013, 9/2/2013]
  - Column: max_temperature_f
    - Samples: [74, 78, 71, 74, 75]
  - Column: mean_temperature_f
    - Samples: [68, 69, 64, 66, 69]
  - Column: min_temperature_f
    - Samples: [61, 60, 57, 58, 62]
  - Column: max_dew_point_f
    - Samples: [61, 61, 57, 60, 61]
  - Column: mean_dew_point_f
    - Samples: [58, 58, 56, 56, 60]
  - Column: min_dew_point_f
    - Samples: [56, 56, 54, 53, 58]
  - Column: max_humidity
    - Samples: [93, 90, 93, 87, 93]
  - Column: mean_humidity
    - Samples: [75, 70, 75, 68, 77]
  - Column: min_humidity
    - Samples: [57, 50, 57, 49, 61]
  - Column: max_sea_level_pressure_inches
    - Samples: [30.07, 30.05, 30.0, 29.96, 29.97]
  - Column: mean_sea_level_pressure_inches
    - Samples: [30.02, 30.0, 29.96, 29.93, 29.94]
  - Column: min_sea_level_pressure_inches
    - Samples: [29.97, 29.93, 29.92, 29.91, 29.9]
  - Column: max_visibility_miles
    - Samples: [10, 10, 10, 10, 10]
  - Column: mean_visibility_miles
    - Samples: [10, 10, 10, 10, 10]
  - Column: min_visibility_miles
    - Samples: [10, 7, 10, 10, 6]
  - Column: max_wind_Speed_mph
    - Samples: [23, 29, 26, 25, 23]
  - Column: mean_wind_speed_mph
    - Samples: [11, 13, 15, 13, 12]
  - Column: max_gust_speed_mph
    - Samples: [28, 35, 31, 29, 30]
  - Column: precipitation_inches
    - Samples: [0, 0, 0, 0, 0]
  - Column: cloud_cover
    - Samples: [4, 2, 4, 4, 6]
  - Column: events
    - Samples: [, , , , ]
  - Column: wind_dir_degrees
    - Samples: [286, 291, 284, 284, 277]
  - Column: zip_code
    - Samples: [94107, 94107, 94107, 94107, 94107]

SELECT MIN(T1.duration) , MIN(T1.duration) - AVG(T1.duration), T2.min_temperature_f FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.start_date = '1/1/2014 0:00' AND T1.end_date = '12/31/2014 11:59' AND T1.start_station_name = '2nd at Folsom' AND T1.end_station_name = '5th at Howard' AND T1.subscription_type = 'Subscriber'