Evaluation of NOAA National Water Model Parameter Calibration in Semi-Arid Environments Prone to Channel Infiltration

Author:

Lahmers Timothy M.12,Hazenberg Pieter3,Gupta Hoshin4,Castro Christopher4,Gochis David5,Dugger Aubrey5,Yates David5,Read Laura5,Karsten Logan5,Wang Yuan-Heng4

Affiliation:

1. 1 NASA Goddard Space Flight Center (NASA-GSFC), Greenbelt, MD

2. 2 NASA Postdoctoral Program (NPP), NASA Goddard Space Flight Center (NASA-GSFC), Greenbelt, MD, USA.

3. 3 Deltares, Postbus 177, 2600 MH Delft

4. 4 Department of Hydrology Atmospheric Sciences, University of Arizona, Tucson, Arizona, USA

5. 5 National Center for Atmospheric Research, Boulder, Colorado, USA

Abstract

AbstractThe NOAA National Water Model (NWM), maintained and executed by the NOAA National Weather Service (NWS) Office of Water Prediction, provides operational hydrological guidance throughout the Contiguous United States. Based on the WRF-Hydro model architecture developed by the National Center for Atmospheric Research (NCAR), the NWM was recently modified for semi-arid domains, by permitting it to explicitly resolve infiltration from ephemeral channels into the underlying channel bed as an added model sink term. To analyze the added value of channel infiltration in semi-arid environments, we calibrated NWM v2.1 (with the channel infiltration function) to 56 independent basins in the western CONUS, following identical calibration methods as the pre-operational NWM v2.1 (not including channel infiltration). Calibration of the model consists of two parts, including 1) calibration of channel infiltration only with other parameters set to the calibrated parameters used for pre-operational NWM v2.1 and 2) calibration of all parameters including channel infiltration with settings otherwise equivalent to the calibration of NWM v2.1. The calibrated channel-infiltration enhanced NWM improves predictive skill compared to the control NWM in 85% of evaluated basins, for the calibration period. The current NWM settings for physical processes and the biases of the calibration scheme limit model performance in semi-arid environments. To explore whether channel infiltration paired with an alternative calibration scheme could address these limitations, NWM v2.1 was calibrated with a new objective function in selected basins. We found that this updated objective function could ameliorate model biases in some semi-arid environments.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference120 articles.

1. andX a of Record for Calibration Internal Rep to Office of Water Prediction https hydrology nws noaa gov aorc historic Documents AORC Deep Dive pdf;Kitzmiller;Analysis,2018

2. Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale;Samaniego;Water Resour. Res.,2010

3. A review on regional convection-permitting climate modeling: Demonstrations, prospects, and challenges: Convection-permitting climate modeling;Prein;Rev. Geophys.,2015

4. The Soil Moisture Active and Passive (SMAP) mission;Entekhabi;Proc. IEEE,2010

5. KINEROS2/AGWA: Model use, calibration, and validation;Goodrich;Trans. ASABE,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3