EMDNA: Ensemble Meteorological Dataset for North America

Related Information

Overview Research Site Status and Provenance Access and Downloads

Section 1: Overview

Name of Research Project

Related Project	Part
Core Modelling and Forecasting Team	SMFD

Program Affiliations

No entries

Related Research Project(s)

Related Project	Part

Dataset Title

EMDNA: Ensemble Meteorological Dataset for North America

Additional Information

https://doi.org/10.20383/101.0275

GeoNetwork record: www.gwfnet.net/geonetwork/srv/eng/catalog.search#/metadata/d2c65175-903f-4c91-988c-68359881d25b

Creators and Contributors

Name	Role	Email	Institution
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.

Plain Language Summary

Keywords

Keyword
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

Section 3: Status and Provenance

Dataset Version

Dataset Creation Date

2020-10-08

Status of data collection/production

○ Planned

○ In Progress

○ Abandoned

◉ Complete

Dataset Completion or Abandonment Date

2020-10-08

Data Update Frequency

○ Continually

○ Daily

○ Weekly

○ Biweekly

○ Monthly

○ Anually

○ As needed

○ Irregular

◉ None planned

○ Unknown

Creation Software

Software	Version	File Formats

Primary Source of Data

◻ Unknown/Unspecified

◻ Census

◻ Field collected samples

◻ Field experiment

◻ Field observation

◻ Field survey

◻ Human biological samples

◻ Lab experiment

▣ Model simulation

◻ Previously collected

◻ Qualitative (from observations or interviews)

◻ Social survey

◻ Traditional knowledge

◻ Other Source of Data (Please specify in field below)

Other Source of Data (if applicable)

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.

Section 4: Access and Downloads

Access to the Dataset

Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

Does the data have access restrictions?

▣ No restriction (data is currently open to public)

◻ Limited (data is currently under embargo until publication)

◻ Limited (data involves intellectual property issues related to local or traditional knowledge)

◻ Limited (release of data may cause harm to the environment or to the public)

◻ Limited (pre-existing data has been used and is subject to access restrictions)

◻ Limited (data involves human subjects)

◻ Limited (data is supported by industry partnerships)

◻ Limited (data is supported by government partnerships)

Downloading and Characteristics of the Dataset

Download Links and Instructions

https://doi.org/10.20383/101.0275

Total Size of all Dataset Files (GB)

3390

File formats and online databases

◻ Link to online database or web services (e.g., WISKI, ECCC)

◻ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)

◻ CSV files (.csv - comma or tab separated value files)

◻ Excel document files (.xlsx, .xls)

◻ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)

▣ NetCDF files (.netcdf, .nc)

◻ Text files (.txt)

◻ Word document files (.docx, .doc)

◻ Other (Please specify in field below)

Other Data Formats (if applicable)

List of Parameters and Variables

Parameter/Variable	Unit	Frequency	Source
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

T-2020-11-25-i1Fwxi32sBMU2GDhUZ6gAJEg Dataset 1.2

West Boundary Longitude	-180
East Boundary Longitude	-50
North Boundary Latitude	85
South Boundary Latitude	5

Begin Date	End Date
1979	2018