SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:DiVA.org:uu-391286"
 

Sökning: id:"swepub:oai:DiVA.org:uu-391286" > How Well Do Operati...

How Well Do Operational Numerical Weather Prediction Configurations Represent Hydrology?

Zsoter, Ervin (författare)
European Ctr Medium Range Weather Forecasts, Reading, Berks, England;Univ Reading, Dept Geog & Environm Sci, Reading, Berks, England
Cloke, Hannah L. (författare)
Uppsala universitet,Luft-, vatten- och landskapslära,Univ Reading, Dept Geog & Environm Sci, Reading, Berks, England;Univ Reading, Dept Meteorol, Reading, Berks, England;Ctr Nat Hazards & Disaster Sci, Uppsala, Sweden
Stephens, Elisabeth (författare)
Univ Reading, Dept Geog & Environm Sci, Reading, Berks, England
visa fler...
de Rosnay, Patricia (författare)
European Ctr Medium Range Weather Forecasts, Reading, Berks, England
Munoz-Sabater, Joaquin (författare)
European Ctr Medium Range Weather Forecasts, Reading, Berks, England
Prudhomme, Christel (författare)
European Ctr Medium Range Weather Forecasts, Reading, Berks, England
Pappenberger, Florian (författare)
European Ctr Medium Range Weather Forecasts, Reading, Berks, England
visa färre...
 (creator_code:org_t)
AMER METEOROLOGICAL SOC, 2019
2019
Engelska.
Ingår i: Journal of Hydrometeorology. - : AMER METEOROLOGICAL SOC. - 1525-755X .- 1525-7541. ; 20:8, s. 1533-1552
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Land surface models (LSMs) have traditionally been designed to focus on providing lower-boundary conditions to the atmosphere with less focus on hydrological processes. State-of-the-art application of LSMs includes a land data assimilation system (LDAS), which incorporates available land surface observations to provide an improved realism of surface conditions. While improved representations of the surface variables (such as soil moisture and snow depth) make LDAS an essential component of any numerical weather prediction (NWP) system, the related increments remove or add water, potentially having a negative impact on the simulated hydrological cycle by opening the water budget. This paper focuses on evaluating how well global NWP configurations are able to support hydrological applications, in addition to the traditional weather forecasting. River discharge simulations from two climatological reanalyses are compared: one "online" set, which includes land-atmosphere coupling and LDAS with an open water budget, and an "offline" set with a closed water budget and no LDAS. It was found that while the online version of the model largely improves temperature and snow depth conditions, it causes poorer representation of peak river flow, particularly in snowmelt-dominated areas in the high latitudes. Without addressing such issues there will never be confidence in using LSMs for hydrological forecasting applications across the globe. This type of analysis should be used to diagnose where improvements need to be made; considering the whole Earth system in the data assimilation and coupling developments is critical for moving toward the goal of holistic Earth system approaches.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)

Nyckelord

Water budget
balance
Numerical weather prediction
forecasting
Data assimilation
Land surface model

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy