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ERA-40 Monthly Means of Surface and Flux Forecast Data
Monthly means of surface and flux forecast data from ECMWF ERA-40 reanalysis project are in this dataset. -
ERA5 monthly mean back extension 1950-1978 (Preliminary version)
ECMWF has announced that the Copernicus Climate Change Service (C3S) has begun the release of the ERA5 back extension data covering the period 1950-1978 on the Climate Data... -
ECMWF TOGA Global Advanced Operational Surface Analysis, daily 1985-2010
This dataset contains the high resolution output from the ECMWF operational model. This set contains only surface data on a gaussian (N80) grid with a resolution of about 1.125... -
ERA5.1: Corrections to ERA5 Stratospheric Temperature 2000-2006
In ECMWF Technical Memo 859 released in January 2020, Simmons and his coauthors report that "the ERA5 analyses of lower stratospheric temperature exhibit a pronounced cold bias... -
ERA40 T85 Monthly Mean Surface Analysis and Surface Forecast Fields, created ...
DS126.0 represents a dataset implemented and computed by NCAR's Data Support Section, and forms an essential part of efforts undertaken in late 2004, early 2005, to produce an... -
Winter CO2 efflux - IRGA [Welker, J., J. Fahnestock]
This dataset contains estimates of wintertime carbon efflux from various tundra and subarctic soils over several winters in Barrow, Alaska, Toolik Lake, Alaska and other Alaskan... -
ECMWF 0.25 Degree Forecast Model Grids (GRIB) [Barve,NPS]
This dataset contains ECMWF 0.25 degree (lon x lat = 561 x 261 points) resolution forecast model grids in GRIB format from NPS. Forecasts are initialized at 00 and 12 UTC every... -
North American Snowmelt 2000 CD [Hinzman, L.]
This dataset includes snowmelt data at nine locations through Alaska as well as Cornwallis Island in the Canadian High Arctic as part of the ATLAS project. This dataset is... -
SUNY-Oswego Mobile Surface Snow Observations Data
This dataset contains SUNY Oswego Mobile Surface Snow Observations Data collected from 7 December 2013 to January 2014. SUNY Oswego positioned 1-4 snow teams in most long...