stationData

<p>* Weather data (precipitation, temperature) from nine stations within the Global Historical Climatology Network (GHCN):
 + USC00162534	(DONALDSONVILLE 4 SW LA, US)
 + USC00050372	(ASPEN 1 SW CO, US)
 + USC00080236	(ARCHBOLD BIO STATION FL, US)
 + USC00440766	(BLACKSBURG NWS VA, US)
 + USW00014606	(BANGOR INTL. AIRPORT ME, US)
 + USW00094240	(QUILLAYUTE AIRPORT WA, US)
 + USC00346386	(NORMAN 3 SSE OK, US)
 + USC00028795	(TUCSON 17 NW AZ, US)
 + USC00472314	(EAGLE RIVER WI, US)</p>

data

A weather generator to simulate precipitation and temperature for regions with seasonality. Users input training data containing precipitation, temperature, and seasonality (up to 26 seasons). Including weather season as a training variable allows users to explore the effects of potential changes in season duration as well as average start- and end-time dates due to phenomena like climate change. Data for training should be a single time series but can originate from station data, basin averages, grid cells, etc.
Bearup, L., Gangopadhyay, S., & Mikkelson, K. (2021). "Hydroclimate Analysis Lower Santa Cruz River Basin Study (Technical Memorandum No ENV-2020-056)." Bureau of Reclamation.
Gangopadhyay, S., Bearup, L. A., Verdin, A., Pruitt, T., Halper, E., & Shamir, E. (2019, December 1). "A collaborative stochastic weather generator for climate impacts assessment in the Lower Santa Cruz River Basin, Arizona." Fall Meeting 2019, American Geophysical Union. <https://ui.adsabs.harvard.edu/abs/2019AGUFMGC41G1267G>.

David Woodson

wxgenR

A Stochastic Weather Generator with Seasonality

Subhrendu Gangopadhyay

Lindsay Bearup

Marketa McGuire

Andrew Verdin

Eylon Shamir

Eve Halper

stationData function

Format

Meteorological training data for weather generator from nine stations — stationData

Meteorological training data for weather generator from nine stations

stationData: Meteorological training data for weather generator from nine stations

Description

Usage

Arguments

Format

Examples