---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '22543'
abstract:
- lang: eng
  text: 'A new stochastic weather generator, Advanced WEather GENerator for a two-dimensional
    grid (AWE-GEN-2d) is presented. The model combines physical and stochastic approaches
    to simulate key meteorological variables at high spatial and temporal resolution:
    2 km × 2 km and 5 min for precipitation and cloud cover and 100 m × 100 m and
    1 h for near-surface air temperature, solar radiation, vapor pressure, atmospheric
    pressure, and near-surface wind. The model requires spatially distributed data
    for the calibration process, which can nowadays be obtained by remote sensing
    devices (weather radar and satellites), reanalysis data sets and ground stations.
    AWE-GEN-2d is parsimonious in terms of computational demand and therefore is particularly
    suitable for studies where exploring internal climatic variability at multiple
    spatial and temporal scales is fundamental. Applications of the model include
    models of environmental systems, such as hydrological and geomorphological models,
    where high-resolution spatial and temporal meteorological forcing is crucial.
    The weather generator was calibrated and validated for the Engelberg region, an
    area with complex topography in the Swiss Alps. Model test shows that the climate
    variables are generated by AWE-GEN-2d with a level of accuracy that is sufficient
    for many practical applications.'
article_processing_charge: No
article_type: original
author:
- first_name: Nadav
  full_name: Peleg, Nadav
  last_name: Peleg
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Athanasios
  full_name: Paschalis, Athanasios
  last_name: Paschalis
- first_name: Peter
  full_name: Molnar, Peter
  last_name: Molnar
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
citation:
  ama: Peleg N, Fatichi S, Paschalis A, Molnar P, Burlando P. An advanced stochastic
    weather generator for simulating 2‐D high‐resolution climate variables. <i>Journal
    of Advances in Modeling Earth Systems</i>. 2017;9(3):1595-1627. doi:<a href="https://doi.org/10.1002/2016ms000854">10.1002/2016ms000854</a>
  apa: Peleg, N., Fatichi, S., Paschalis, A., Molnar, P., &#38; Burlando, P. (2017).
    An advanced stochastic weather generator for simulating 2‐D high‐resolution climate
    variables. <i>Journal of Advances in Modeling Earth Systems</i>. American Geophysical
    Union. <a href="https://doi.org/10.1002/2016ms000854">https://doi.org/10.1002/2016ms000854</a>
  chicago: Peleg, Nadav, Simone Fatichi, Athanasios Paschalis, Peter Molnar, and Paolo
    Burlando. “An Advanced Stochastic Weather Generator for Simulating 2‐D High‐resolution
    Climate Variables.” <i>Journal of Advances in Modeling Earth Systems</i>. American
    Geophysical Union, 2017. <a href="https://doi.org/10.1002/2016ms000854">https://doi.org/10.1002/2016ms000854</a>.
  ieee: N. Peleg, S. Fatichi, A. Paschalis, P. Molnar, and P. Burlando, “An advanced
    stochastic weather generator for simulating 2‐D high‐resolution climate variables,”
    <i>Journal of Advances in Modeling Earth Systems</i>, vol. 9, no. 3. American
    Geophysical Union, pp. 1595–1627, 2017.
  ista: Peleg N, Fatichi S, Paschalis A, Molnar P, Burlando P. 2017. An advanced stochastic
    weather generator for simulating 2‐D high‐resolution climate variables. Journal
    of Advances in Modeling Earth Systems. 9(3), 1595–1627.
  mla: Peleg, Nadav, et al. “An Advanced Stochastic Weather Generator for Simulating
    2‐D High‐resolution Climate Variables.” <i>Journal of Advances in Modeling Earth
    Systems</i>, vol. 9, no. 3, American Geophysical Union, 2017, pp. 1595–627, doi:<a
    href="https://doi.org/10.1002/2016ms000854">10.1002/2016ms000854</a>.
  short: N. Peleg, S. Fatichi, A. Paschalis, P. Molnar, P. Burlando, Journal of Advances
    in Modeling Earth Systems 9 (2017) 1595–1627.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2017-07-01T00:00:00Z
date_updated: 2026-08-06T08:22:16Z
day: '01'
ddc:
- '550'
doi: 10.1002/2016ms000854
extern: '1'
has_accepted_license: '1'
intvolume: '         9'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1002/2016MS000854
month: '07'
oa: 1
oa_version: Published Version
page: 1595-1627
publication: Journal of Advances in Modeling Earth Systems
publication_identifier:
  eissn:
  - 1942-2466
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: An advanced stochastic weather generator for simulating 2‐D high‐resolution
  climate variables
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9
year: '2017'
...