Search Results

You are looking at 1 - 10 of 1,584 items for :

  • Journal of Hydrometeorology x
  • All content x
Clear All
Stefano Materia, Paul A. Dirmeyer, Zhichang Guo, Andrea Alessandri, and Antonio Navarra

participating in the Second Global Soil Wetness Project (GSWP-2; Dirmeyer et al. 2006 ; see Table 1 ) are used as forcings for the Hydrology Discharge (HD) model ( Hagemann and Dümenil 1998a ). The response of river discharges produced by HD to the different surface and subsurface runoff values is evaluated. Moreover, the quality of meteorological forcing data has a strong influence on the simulation of land surface components of the hydrological cycle ( Guo et al. 2006 ). GSWP-2 included a number of

Full access
J. Li, X. Gao, and S. Sorooshian

, a 4-km elevation map can capture much more detailed topography features over the URGB than can a 12-km map. So far, however, few attempts have been made to employ very fine spatial resolutions for (long term) hydroclimatology studies. One of the objectives of this research was to investigate whether, or to what extent, this modeling can improve the accuracy of hydroclimate studies. In addition to model spatial resolution, the choice of atmospheric forcing field exerts an important influence on

Full access
Jinwon Kim, Yu Gu, and K. N. Liou

1. Introduction The impact of aerosol radiative forcing on the energy and water cycle is an important concern in understanding regional climate, but the details of its spatiotemporal variability remain uncertain. Aerosols influence the energy and water cycle primarily via scattering and absorption of solar radiation (direct effect) and via their impact on the characteristics of clouds and precipitation (indirect effect). In climate modeling and long-range forecasts, uncertainties in aerosol

Full access
Pablo F. Dornes, John W. Pomeroy, Alain Pietroniro, and Diana L. Verseghy

environment. The evaluation is conducted by comparing the effects on model performance of aggregated to distributed initial conditions and forcing data. 2. Study basin and observations The selected study area was Granger Basin (60°31′N, 135°07′W) which is part of Wolf Creek Research Basin situated 15 km south of Whitehorse, Yukon Territory, Canada ( Fig. 1 ). Granger Basin, drained by Granger Creek, is located in the mountainous headwaters of the Yukon River basin and compromises a drainage area about 8

Full access
Ian M. Ferguson, John A. Dracup, Philip B. Duffy, Philip Pegion, and Siegfried Schubert

conditions in conjunction with warm SST anomalies in the Indian Ocean. Similarly, Schubert et al. (2004b) and Seager et al. (2005) showed that ensembles of AGCM simulations forced with observed twentieth-century SST reproduced much of the observed low-frequency variability in twentieth-century precipitation over the U.S. Great Plains, including the timing and duration of major droughts of the 1930s and 1950s. These studies suggest that ocean–atmosphere forcing by persistent SST anomalies is a primary

Full access
Chiel C. van Heerwaarden, Jordi Vilà-Guerau de Arellano, Amanda Gounou, Françoise Guichard, and Fleur Couvreux

, only the studies of Brubaker and Entekhabi (1996) and Margulis and Entekhabi (2001) have provided methods to quantify the influence of individual forcings and feedbacks in the coupled land–atmosphere system on evapotranspiration. Our study focuses on evapotranspiration on the diurnal time scale and is therefore complementary to the work of Brubaker and Entekhabi . Their study aims at understanding the longer time scales involved in the heat and moisture budget, which can for instance be seen

Full access
Vasubandhu Misra

Amazon, French Guiana, Suriname, Guyana, and Venezuela. This region is hereafter referred as the EA and is outlined in Fig. 1a . Given the EA’s close proximity to the equator, the motivation for this paper is to understand if local processes, such as the diurnal variation, amplify the remote ENSO forcing. 2. Model description and data a. Model description The Center for Ocean–Land–Atmosphere Studies (COLA) coupled climate model ( Misra et al. 2007 ; Misra and Marx 2007 ) is used in this study. Its

Full access
Luis Gustavo G. de Goncalves, William J. Shuttleworth, Daniel Vila, Eliane Larroza, Marcus J. Bottino, Dirceu L. Herdies, Jose A. Aravequia, Joao G. Z. De Mattos, David L. Toll, Matthew Rodell, and Paul Houser

. 1996 ; Koster and Suarez 1999 ; Fennessey and Shukla 1999 ; Koster et al. 2004 ; de Goncalves et al. 2006a ), and that surface states such as soil moisture and temperature can affect atmospheric numerical model predictions. There are continuing efforts to increase the accuracy (and, as a result, complexity) of the representation within LSMs of the processes involved in the soil–vegetation–atmosphere system. However, realism can only ensue if LSMs are provided with realistic forcing data. Such

Full access
Marketa M. Elsner, Subhrendu Gangopadhyay, Tom Pruitt, Levi D. Brekke, Naoki Mizukami, and Martyn P. Clark

these studies, as well as water management decisions, understanding the uncertainty associated with various underlying modeling application choices is critical. In an assessment of climate change impacts on water resources, modeling application choices may include historical and projected future climate datasets, model structure, and model calibration metrics, objective function, and calibration scheme. With respect to choice of historical meteorological forcings, studies have shown that the dataset

Full access
Myong-In Lee, Siegfried D. Schubert, Max J. Suarez, Isaac M. Held, Ngar-Cheung Lau, Jeffrey J. Ploshay, Arun Kumar, Hyun-Kyung Kim, and Jae-Kyung E. Schemm

Laboratory (GFDL), and the National Aeronautics and Space Administration Global Modeling and Assimilation Office (NASA GMAO) are investigated in this study. The AGCMs are evaluated at a typical climate model resolution (approximately 2° latitude–longitude), in order to address 1) how accurately current climate models resolve the observed characteristics of warm-season diurnal cycle of rainfall, 2) how faithfully they simulate the local and large-scale forcing mechanisms that drive the diurnal convection

Full access