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Description

This data set features seven standard annual mean extreme precipitation indices: Rx1day, Rx5day, CWD, R10mm, R20mm, R95pTOT, and R99pTOT. They were selected on the basis of potential relevance to landslide activity from the 27 indices established by the joint CCl/CLIVAR/JCOMM Expert Team (ET) on Climate Change Detection and Indices (ETCCDI). The seven indices were simulated by the National Oceanic and Atmospheric Administration (NOAA) Geophysical Fluid Dynamics Laboratory (GFDL) Forecast-oriented Low Ocean Resolution version of CM2.5 (GFDL FLOR).

Version Description

Initial release

Product Summary

Platforms
MODELS
Instruments
NOT APPLICABLE
Spatial Extent

N: 50.5 S: -0.5 E: 125.625 W: 34.375

Geographic Region
HIMALAYAS
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2000-01-01 to 2016-12-31
Concept ID
C3249542428-NSIDC_CPRD
Data State
ACTIVE
Number of Files/Granules
119
Processing Level
3
Published
Science Keywords
Precipitation Indices

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Kirschbaum, D., Stanley, T., Kapnick, S., & Pascale, S. (2018). High Mountain Asia GFDL FLOR Modeled Extreme Precipitation Indices, Version 1 [Data set]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/W8DR3VBR27PX Date Accessed: 2026-01-09

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