Information content of spatially distributed ground-based measurements for hydrologic-parameter calibration in mixed rain-snow mountain headwaters-Reference-Cited by-同舟云学术

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Information content of spatially distributed ground-based measurements for hydrologic-parameter calibration in mixed rain-snow mountain headwaters

Published:2020-03 Issue: Volume:582 Page:124478
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Avanzi Francesco^ORCID,Maurer Tessa^ORCID,Glaser Steven D.,Bales Roger C.,Conklin Martha H.

Funder

California Energy Commission

Pacific Gas & Electric Co

California Department of Water Resources

Water Security and Sustainability Research Initiative

National Science Foundation Graduate Research Fellowship

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference104 articles.

1. Sensitivity and uncertainty analysis of the conceptual HBV rainfall-runoff model: Implications for parameter estimation;Abebe;J. Hydrol.,2010

2. Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model;Andreadis;Geophys. Res. Lett.,2007

3. Assimilating remotely sensed snow observations into a macroscale hydrology model;Andreadis;Adv. Water Resour.,2006

4. Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments;Anghileri;Water Resour. Res.,2016

5. A processing-modeling routine to use SNOTEL hourly data in snowpack dynamic models;Avanzi;Adv. Water Resour.,2014

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1. An intercomparison of empirical schemes for partitioning precipitation phase;Journal of Hydrology: Regional Studies;2024-06

2. A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models;Hydrological Sciences Journal;2024-04-03

3. Evaluating Precipitation Corrections to Enhance High-Alpine Hydrological Modeling for Hydropower;2024

4. Runoff response to the uncertainty from key water-budget variables in a seasonally snow-covered mountain basin;Journal of Hydrology: Regional Studies;2023-12

5. IT-SNOW: a snow reanalysis for Italy blending modeling, in situ data, and satellite observations (2010–2021);Earth System Science Data;2023-02-08

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