Logo | Name | Language | Type | Description | Paper | Comments |
---|---|---|---|---|---|---|
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MSTWeatherGen |
|
Package |
Spatial, multivariate
|
Obakrim et al. (2024) |
Documentation
|
— | GWEX |
|
Package |
Multisite Precipitation and Temperature
|
Evin et al. (2018) | — |
— | GWGEN |
|
Package |
Globally applicable weather generator inspired by the original Richardson
model (1981).
|
Sommer et al. (2017) |
Sort of Documentation. Not sure what "globally applicable" means.
|
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WeaGETS | Package |
Multivariate Markov/AR based SWG for
RR , TX and TN |
Feng et al. (2012) | — | |
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AWE-GEN-2d | Code |
AWE-GEN-2d is an advanced stochastic weather generator that combines physical
and stochastic approaches to simulate multiple variables like precipitation, temperature,
radiation, and cloud cover at high spatial (2 km) and temporal (5 min) resolution. It has been
developed to support complex hydrological simulations under changing climate scenarios.
|
Peleg et al. (2024) |
Other models available from the author Nadav Peleg.
|