S. I. Khan, P. Adhikari, Y. Hong, H. Vergara, T. Grout, R. F. Adler, F. Policelli, D. Irwin, T. Korme, and L. Okello School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, USA NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA NASA Marshall Space Flight Cente...

[1] The overall water balance and the sensitivity of watershed runoff to changes in climate are investigated using national databases of climate and streamflow for 1,337 watersheds in the U.S. We document that 1% changes in precipitation result in 1.5–2.5% changes in watershed runoff, depending upon the degree of buffering by storage processes and other factors. Unlike previous research, our ap...

Abstract. This paper presents the Australian edition of Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) series datasets. CAMELS-AUS (Australia) comprises data 222 unregulated catchments, combining hydrometeorological time (streamflow 18 climatic variables) with 134 attributes related to geology, soil, topography, land cover, anthropogenic influence hydroclimatology. The c...

[1] An overview of the annual hydroclimatology of the United States is provided. Time series of monthly streamflow, temperature, and precipitation are developed for 1337 watersheds in the United States. This unique data set is then used to evaluate several approaches for estimating the long-term water balance and the interannual variability of streamflow. Traditional relationships which predict...

Understanding the impact of postdam climate feedbacks, resulting from land use/land cover (LULC) variability, on modification of extreme precipitation (EP) remains a challenge for a twenty-first-century approach to dam design and operation. In this study, the Regional Atmospheric Modeling System (RAMS, version 6.0) was used, involving a number of predefined LULC scenarios to address the importa...

Abstract The Community Collaborative Rain, Hail and Snow (CoCoRaHS) network is a well-regarded, trusted source of precipitation data. network’s volunteers also provide weather climate observations through daily comments, significant reports, condition monitoring reports. Designed to meet need for local information about drought events their impacts, “condition monitoring” was initiated as pilot...