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International Climate Benchmarks and Input Parameters for a Stochastic Weather Generator, CLIGEN

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posted on 2024-02-15, 21:58 authored by Andrew FullhartAndrew Fullhart, Mark A. Nearing, Gerardo Armendariz, Mark A. Weltz

This dataset represents CLIGEN input parameters for locations in 68 countries. CLIGEN is a point-scale stochastic weather generator that produces long-term weather simulations with daily output. The input parameters are essentially monthly climate statistics that also serve as climate benchmarks. Three unique input parameter sets are differentiated by having been produced from 30-year, 20-year and 10-year minimum record lengths that correspond to 7673, 2336, and 2694 stations, respectively. The primary source of data is the NOAA GHCN-Daily dataset, and due to data gaps, records longer than the three minimum record lengths were often queried to produce the needed number of complete monthly records. The vast majority of stations used at least some data from the 2000's, and temporal coverages are shown in the Excel table for each station. CLIGEN has various applications including being used to force soil erosion models. This dataset may reduce the effort needed in preparing climate inputs for such applications.

Revised input files added on 11/16/20. These files were revised from the original dataset. Fixed metadata issues with the headings of each file. Fixed inconsistencies with MX.5P and transition probability values for extremely dry climates and/or months.

Second revision input files added on 2/12/20. A formatting error was fixed that affected transition probabilities for 238 stations with zero recorded precipitation for one or more months. The affected stations were predominantly in Australia and Mexico.


Resources in this dataset:

Funding

USDA-ARS: 2022-13610-012-00-D

History

Data contact name

Fullhart, Andrew

Data contact email

andrew.fullhart@usda.gov

Publisher

Ag Data Commons

Intended use

The *.par input files may be used to run CLIGEN v5.3 simulations for locations around the world.

Use limitations

The 30-year dataset is the best representation of long-term climate normals. The 20-year and 10-year datasets are generally more reflective of recent climate conditions. The proximity of an area of interest to the nearest available CLIGEN station from this dataset should also be considered.

Temporal Extent Start Date

1886-01-01

Temporal Extent End Date

2019-12-31

Theme

  • Not specified

Geographic location - description

Worldwide

ISO Topic Category

  • climatologyMeteorologyAtmosphere
  • environment
  • farming
  • geoscientificInformation

National Agricultural Library Thesaurus terms

climate; climate models; data collection; weather; statistics; soil erosion models

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 211

Primary article PubAg Handle

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Fullhart, Andrew T.; Nearing, Mark A.; Armendariz, Gerardo; Weltz, Mark A. (2020). International Climate Benchmarks and Input Parameters for a Stochastic Weather Generator, CLIGEN. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1518706

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    Categories

    Keywords

    Agroecosystems & Environment Weather and ClimateNP211erosiondata.govARS

    Licence

    U.S. Public Domain

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