Assimilation of Streamflow Observations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F18%3A76532" target="_blank" >RIV/60460709:41330/18:76532 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-40457-3_33-1" target="_blank" >http://dx.doi.org/10.1007/978-3-642-40457-3_33-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-40457-3_33-1" target="_blank" >10.1007/978-3-642-40457-3_33-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Assimilation of Streamflow Observations

Popis výsledku v původním jazyce

Streamflow is arguably the most important predictor in operational hydrologic forecasting and water resources management. Assimilation of streamflow observations into hydrologic models has received growing attention in recent decades as a cost-effective means to improve prediction accuracy. Whereas the methods used for streamflow data assimilation (DA) originated and were popularized in atmospheric and ocean sciences, the nature of streamflow DA is significantly different from that of atmospheric or oceanic DA. Compared to the atmospheric processes modeled in weather forecasting, the hydrologic processes for surface and groundwater flow operate over a much wider range of time scales. Also, most hydrologic systems are severely under-observed. The purpose of this chapter is to provide a review on streamflow measurements and associated uncertainty and to share the latest advances, experiences gained, and science issues and challenges in streamflow DA. Toward this end, we discuss the followin

Název v anglickém jazyce

Assimilation of Streamflow Observations

Popis výsledku anglicky

Streamflow is arguably the most important predictor in operational hydrologic forecasting and water resources management. Assimilation of streamflow observations into hydrologic models has received growing attention in recent decades as a cost-effective means to improve prediction accuracy. Whereas the methods used for streamflow data assimilation (DA) originated and were popularized in atmospheric and ocean sciences, the nature of streamflow DA is significantly different from that of atmospheric or oceanic DA. Compared to the atmospheric processes modeled in weather forecasting, the hydrologic processes for surface and groundwater flow operate over a much wider range of time scales. Also, most hydrologic systems are severely under-observed. The purpose of this chapter is to provide a review on streamflow measurements and associated uncertainty and to share the latest advances, experiences gained, and science issues and challenges in streamflow DA. Toward this end, we discuss the followin

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10501 - Hydrology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Handbook of Hydrometeorological Ensemble Forecasting

ISBN

978-3-642-40457-3

Počet stran výsledku

36

Strana od-do

1-36

Počet stran knihy

1500

Název nakladatele

Springer-Verlag GmbH Germany, part of Springer Nature

Místo vydání

Berlin, Heidelberg

Kód UT WoS kapitoly

—