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ClimoBase: Rouse Canadian Surface Observations of Weather, Climate, and Hydrological Variables, 1984-1998, Version 1

ClimoBase is a collection of surface climate measurements collected in Northern Canada by Dr. Wayne Rouse between 1984 and 1998 in three locations: Churchill, Manitoba; Marantz Lake, Manitoba; and Inuvik, Northwest Territories. These data are comprised of surface-climate measurements, including solar time, wind speed, wind direction, dry-bulb, wet-bulb, and vapor pressure in 24 sites focused at the three Northern Canadian locations. The sites were chosen to include a variety of terrains in the study: sedge fen wetland, willow-birch wetland, lichen-heath, bedrock boulders/heath, spruce- tamarack forest, tundra lake, creek, various (e.g. a basin: sedge, willow, lichen-heath, forest, etc.), sparse vegetation (short grass/sedge, heath spp.), and coastal marsh (tall grass, sandy soils). The measurements were taken in increments ranging from seasonally to every 15 minutes. In all, 177 different variables were measured and recorded. The data are valuable due to their unique and consistent nature.

GPM Ground Validation Weather Research and Forecasting (WRF) Model LPVEx V1

The GPM Ground Validation Weather Research and Forecasting (WRF) Images LPVEx includes model data simulated by the Weather Research and Forecasting (WRF) model for the GPM Ground Validation Light Precipitation Validation Experiment (LPVEx). This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The WRF model provided simulations of the precipitation events that were observed during the campaign. The LPVEx WRF dataset files are available from September 20 through October 20, 2010 in netCDF-3 format.

GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP V1

The GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP dataset consists of surface meteorological data collected at the Environment Canada (EC) XET station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The XET C3VP dataset file includes temperature, pressure, wind speed and direction, relative humidity, solar radiation, grass temperature, soil temperature, snow depth, sunshine, and precipitation measurements from October 4, 2006 through March 31, 2007 in ASCII-csv format.

Weather Research and Forecasting (WRF) Model IMPACTS

The Weather Research and Forecasting (WRF) Model IMPACTS dataset includes model data simulated by the Weather Research and Forecasting (WRF) model for the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The WRF model provided simulations of the precipitation events that were observed during the campaign using initial and boundary conditions from the Global Forecast System (GFS) model and the North American Mesoscale Forecast System (NAM). The WRF IMPACTS dataset files are available from January 12, 2020, through March 4, 2023, in netCDF-3 format.

High-Impact Weather Assessment Toolkit (HIWAT)

The High Impact Weather Assessment Toolkit (HIWAT) uses a mesoscale numerical weather prediction model and the Global Precipitation Measurement (GPM) constellation of satellites. The toolkit includes a suite of ensemble model forecasts to constrain uncertainties and provide a probabilistic forecast for improved decision-making. The toolkit provides outlooks for lightning strikes, high-impact winds, high rainfall rates, hail damage, and other weather events. The toolkit provides a 54-hour probabilistic forecast over Nepal and Bangladesh along with parts of northeast India (i.e., the Hindu Kush Himalayan region). HIWAT will also support threat assessments, such as thunderstorm intensity, using GPM and impact assessments using Landsat/MODIS land imagery to identify damage scars. The dataset files are available from April 2, 2017, through October 2, 2022, in netCDF-3 format.

GHRSST Level 2P Sea Surface Temperature version 1.0 from the Electro-Optical Infrared Weather System Geostationary (EWSG2) produced by NAVO

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P sea surface temperature dataset produced by the Naval Oceanographic Office (NAVO) from the GOES Imager sensor on the Electro-Optical Infrared Weather System – Geostationary satellite (EWS-G2). The EWS-G2, formerly GOES-15, is the second Department of Defense owned geostationary weather satellite, which has been repositioned over Indian Ocean (IO) region at 60.0° West longitude in September 2023 and fully operational since December 3, 2023, providing timely cloud characterization and theater weather imagery to DoD. The EWS-G2 L2P SST product is calculated based on the 4-micron (band 2) and 11-micron (band 4) channels, providing nighttime and daytime SST. However, daytime SSTs are not produced in areas where the 4-micron channel is strongly affected by Solar radiation, which is defined by solar reflection angle > 50 degrees. The L2P data are packaged according to the GHRSST Data Specification version 2 (GDS2) in netCDF4 format at 0.04-degree spatial resolution and stored in 104 partial disks per day. The data will be continually updated with 24 hours latency.

TCSP European Centre for Medium-Range Weather Forecasts (ECMWF) V1

The TCSP European Centre for Medium-Range Weather Forecasts (ECMWF) dataset consists of three-hour forecast/analysis data for the Tropical Cloud Systems and Processes (TCSP) field campaign, supplied by ECMWF. The TCSP field campaign was conducted from July 1 through July 27, 2005 out of the Juan Santamaria Airfield in San Jose, Costa Rica. TCSP collected data for research and documentation of cyclogenesis, the interaction of temperature, humidity, precipitation, wind, and air pressure that creates ideal birthing conditions for tropical storms, hurricanes, and related phenomena. The goal of this mission was to help better understand how hurricanes and other tropical storms are formed and intensify. The ECMWF three-hour forecast/analysis data are in a gridded binary (GRIB) format and tarred into daily files.

opencc-by-4.0Aug 2020View details →

Milan Weather Data

Weather data from 2008 to 2019

opencc-by-4.0Jun 2017View details →

meta data of 'weather_analytics' data model

description of the data fields of the data model, used in the weather_analytics application

opencc-by-4.0Feb 2024View details →

Code and data for "Heatwave attribution based on reliable operational weather forecasts"

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