High Mountain Asia GFDL FLOR Modeled Daily Precipitation for Extreme Analysis V001

This data set includes three climate simulations of daily precipitation over the Himalayan region for summer and winter, covering different time periods: two 30-member ensemble simulations spanning 40-year time periods in the 20th century (1961-2000) and 21st century (2061-2100), and a present-day climate simulation from 1982 to 2017 nudged to reanalysis winds. These precipitation estimates were simulated by the National Oceanic and Atmospheric Administration (NOAA) Geophysical Fluid Dynamics Laboratory (GFDL) Forecast-oriented Low Ocean Resolution version of the CM2.5 model (GFDL FLOR).

Data and Resources

Additional Info

Field Value
Maintainer Sarah Kapnick
Last Updated February 19, 2025, 10:34 (UTC)
Created February 19, 2025, 10:34 (UTC)
accessLevel public
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
citation High Mountain Asia GFDL FLOR Modeled Daily Precipitation for Extreme Analysis V001. Version 1. Archived by National Aeronautics and Space Administration, U.S. Government, NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/I0T1I4WNQ462.
harvest_object_id 475d6759-8aaa-4633-8136-7542142eba72
harvest_source_id b37e5849-07d2-41cd-8bb6-c6e83fc98f2d
harvest_source_title DNG Legacy Data
identifier C1624006981-NSIDC_ECS
issued 1961-01-01
landingPage https://doi.org/10.5067/I0T1I4WNQ462
language {en-US}
metadata_type geospatial
modified 2100-12-31
programCode {026:001}
publisher NASA NSIDC DAAC
resource-type Dataset
source_datajson_identifier true
source_hash d186361f28796b1ca5711a17d9ceb24ced4d997c4e2f2773a9bfa3ac6dbc48bc
source_schema_version 1.1
spatial 72.8125 26.75 87.8125 35.25
temporal 1961-01-01T00:00:00Z/2100-12-31T23:59:59.999Z
theme {geospatial}