Seasonal to multi-year soil moisture drought forecasting

Abstract Soil moisture predictability on seasonal to decadal (S2D) continuum timescales over North America is examined from the Community Earth System Modeling (CESM) experiments. The effects of ocean and land initializations are disentangled using two large ensemble datasets—initialized and uniniti...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Musa Esit, Sanjiv Kumar, Ashutosh Pandey, David M. Lawrence, Imtiaz Rangwala, Stephen Yeager
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Acceso en línea:https://doaj.org/article/08e725ec2f9f40169e416c3ddf0f2b34
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:08e725ec2f9f40169e416c3ddf0f2b34
record_format dspace
spelling oai:doaj.org-article:08e725ec2f9f40169e416c3ddf0f2b342021-12-02T15:52:21ZSeasonal to multi-year soil moisture drought forecasting10.1038/s41612-021-00172-z2397-3722https://doaj.org/article/08e725ec2f9f40169e416c3ddf0f2b342021-03-01T00:00:00Zhttps://doi.org/10.1038/s41612-021-00172-zhttps://doaj.org/toc/2397-3722Abstract Soil moisture predictability on seasonal to decadal (S2D) continuum timescales over North America is examined from the Community Earth System Modeling (CESM) experiments. The effects of ocean and land initializations are disentangled using two large ensemble datasets—initialized and uninitialized experiments from the CESM. We find that soil moisture has significant predictability on S2D timescales despite limited predictability in precipitation. On sub-seasonal to seasonal timescales, precipitation variability is an order of magnitude greater than soil moisture, suggesting land surface processes, including soil moisture memory, reemergence, land–atmosphere interactions, transform a less predictable precipitation signal into a more predictable soil moisture signal.Musa EsitSanjiv KumarAshutosh PandeyDavid M. LawrenceImtiaz RangwalaStephen YeagerNature PortfolioarticleEnvironmental sciencesGE1-350Meteorology. ClimatologyQC851-999ENnpj Climate and Atmospheric Science, Vol 4, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
spellingShingle Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
Musa Esit
Sanjiv Kumar
Ashutosh Pandey
David M. Lawrence
Imtiaz Rangwala
Stephen Yeager
Seasonal to multi-year soil moisture drought forecasting
description Abstract Soil moisture predictability on seasonal to decadal (S2D) continuum timescales over North America is examined from the Community Earth System Modeling (CESM) experiments. The effects of ocean and land initializations are disentangled using two large ensemble datasets—initialized and uninitialized experiments from the CESM. We find that soil moisture has significant predictability on S2D timescales despite limited predictability in precipitation. On sub-seasonal to seasonal timescales, precipitation variability is an order of magnitude greater than soil moisture, suggesting land surface processes, including soil moisture memory, reemergence, land–atmosphere interactions, transform a less predictable precipitation signal into a more predictable soil moisture signal.
format article
author Musa Esit
Sanjiv Kumar
Ashutosh Pandey
David M. Lawrence
Imtiaz Rangwala
Stephen Yeager
author_facet Musa Esit
Sanjiv Kumar
Ashutosh Pandey
David M. Lawrence
Imtiaz Rangwala
Stephen Yeager
author_sort Musa Esit
title Seasonal to multi-year soil moisture drought forecasting
title_short Seasonal to multi-year soil moisture drought forecasting
title_full Seasonal to multi-year soil moisture drought forecasting
title_fullStr Seasonal to multi-year soil moisture drought forecasting
title_full_unstemmed Seasonal to multi-year soil moisture drought forecasting
title_sort seasonal to multi-year soil moisture drought forecasting
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/08e725ec2f9f40169e416c3ddf0f2b34
work_keys_str_mv AT musaesit seasonaltomultiyearsoilmoisturedroughtforecasting
AT sanjivkumar seasonaltomultiyearsoilmoisturedroughtforecasting
AT ashutoshpandey seasonaltomultiyearsoilmoisturedroughtforecasting
AT davidmlawrence seasonaltomultiyearsoilmoisturedroughtforecasting
AT imtiazrangwala seasonaltomultiyearsoilmoisturedroughtforecasting
AT stephenyeager seasonaltomultiyearsoilmoisturedroughtforecasting
_version_ 1718385551808135168