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Name of Research Project
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Related Project
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Part
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Core Modelling and Forecasting Team
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SMFD
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Dataset Title
EMDNA: Ensemble Meteorological Dataset for North America
Additional Information
Creators and Contributors
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Guoqiang Tang | Point of Contact, Author | guoqiang.tang@usask.ca | University of Saskatchewan |
Martyn Clark | Point of Contact, Author | martyn.clark@usask.ca | University of Saskatchewan |
Simon Papalexiou | Author | | University of Saskatchewan |
Andrew Newman | Author | | National Center for Atmospheric Research |
Andrew Wood | Author | | National Center for Atmospheric Research |
Dominique Brunet | Author | | Environment and Climate Change Canada |
Paul Whitfield | Author | | University of Saskatchewan |
Abstract
The Ensemble Meteorological Dataset for North America (EMDNA) contains daily precipitation, mean daily temperature, and daily temperature range at the 0.1-degree resolution from 1979 to 2018. Minimum and maximum temperature can be calculated from mean temperature and temperature range. EMDNA merges station observations and reanalysis model outputs to improve the quality of estimates. The dataset is expected to be useful for hydrological and meteorological applications in North America. Two types of datasets are provided by EMDNA, including the probabilistic dataset and the deterministic dataset. The probabilistic dataset has 100 equally plausible ensemble members, which can be used to evaluate the impact of the uncertainties in a myriad of applications. The deterministic dataset is generated during the production of ensemble members and can be applied in studies that do not need uncertainty estimation.
Purpose
This dataset was created as part of the spatial meteorological forcing data (SMFD) theme of the GWF Core Modelling and Forecasting Team.
Keywords
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precipitation |
temperature |
ensemble |
North America |
Citations
Tang, G., Clark, M. P., Papalexiou, S. M., Newman, A. J., Wood, A. W., Brunet, D., Whitfield, P. H. (2020). EMDNA: Ensemble Meteorological Dataset for North America [Dataset]. Federated Research Data Repository.
https://doi.org/10.20383/101.0275 Tang, G., Clark, M. P., Papalexiou, S. M., Newman, A. J., Wood, A. W., Brunet, D., Whitfield, P. H. (2021). EMDNA: an Ensemble Meteorological Dataset for North America. Earth Syst. Sci. Data, 13, 3337–3362,
https://doi.org/10.5194/essd-13-3337-2021
Dataset Version
1
Dataset Creation Date
2020-10-08
Status of data collection/production
Dataset Completion or Abandonment Date
2020-10-08
Data Update Frequency
Primary Source of Data
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
The dataset EMDNA has 100 members with daily precipitation amount, mean daily temperature (Tmean), and daily temperature range (Trange) at the 0.1° spatial resolution from 1979 to 2018, derived from a fusion of station observations and reanalysis model outputs. Station observations are from a serially complete dataset for North America (SCDNA; Tang et al., 2020a). Reanalysis products include ERA5, JRA-55, and MERRA-2. EMDNA is expected to be useful for hydrological and meteorological applications in North America.
Terms of Use
Does the data have access restrictions?
Download Links and Instructions
Total Size of all Dataset Files (GB)
3390
File formats and online databases
List of Parameters and Variables
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date | yyyymmdd | daily | .nc |
latitude | degrees | 0.1 degrees | .nc |
longitude | degrees | 0.1 degrees | .nc |
precipitation | mm/day | daily | .nc |
mean daily temperature | C | daily | .nc |
daily temperature range | C | daily | .nc |
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