Simulation of direct effects of black carbon aerosol on temperature and hydrological cycle in Asia by a Regional Climate Model

Abstract Land–atmosphere interaction at climatological time scales in a large area that includes the West African Sahel has been explicitly explored in a regional climate model (RegCM) simulation using a range of diagnostics. First, areas and seasons of strong land–atmosphere interaction were diagnosed from the requirement of a combined significant correlation between soil moisture, evaporation, and the recycling ratio. The northern edge of the West African monsoon area during June–August (JJA) and an area just north of the equator (Central African Republic) during March–May (MAM) were identified. Further analysis in these regions focused on the seasonal cycle of the lifting condensation level (LCL) and the convective triggering potential (CTP), and the sensitivity of CTP and near-surface dewpoint depressions HIlow to anomalous soil moisture. From these analyses, it is apparent that atmospheric mechanisms impose a strong constraint on the effect of soil moisture on the regional hydrological cycle.

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Mineral dust aerosol distributions, its direct and semi-direct effects over South Africa based on regional climate model simulation

Journal of Arid Environments ◽

10.1016/j.jaridenv.2014.11.002 ◽

2015 ◽

Vol 114 ◽

pp. 22-40 ◽

Cited By ~ 10

Author(s):

M. Tesfaye ◽

G. Mengistu Tsidu ◽

J. Botai ◽

V. Sivakumar ◽

C.J. deW. Rautenbach

Keyword(s):

South Africa ◽

Regional Climate Model ◽

Climate Model ◽

Mineral Dust ◽

Model Simulation ◽

Regional Climate ◽

Dust Aerosol ◽

Regional Climate Model Simulation ◽

Direct Effects ◽

Climate Model Simulation

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Future Changes in Surface Runoff over Korea Projected by a Regional Climate Model under A1B Scenario

Advances in Meteorology ◽

10.1155/2014/753790 ◽

2014 ◽

Vol 2014 ◽

pp. 1-8 ◽

Cited By ~ 9

Author(s):

Ji-Woo Lee ◽

Suryun Ham ◽

Song-You Hong ◽

Kei Yoshimura ◽

Minsu Joh

Keyword(s):

Climate Change ◽

Regional Climate Model ◽

Surface Runoff ◽

Climate Model ◽

Hydrological Cycle ◽

Regional Climate ◽

Future Climate ◽

Climate Simulation ◽

Intergovernmental Panel ◽

The Future

This study assesses future change of surface runoff due to climate change over Korea using a regional climate model (RCM), namely, the Global/Regional Integrated Model System (GRIMs), Regional Model Program (RMP). The RMP is forced by future climate scenario, namely, A1B of Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). The RMP satisfactorily reproduces the observed seasonal mean and variation of surface runoff for the current climate simulation. The distribution of monsoonal precipitation-related runoff is adequately captured by the RMP. In the future (2040–2070) simulation, it is shown that the increasing trend of temperature has significant impacts on the intra-annual runoff variation. The variability of runoff is increased in summer; moreover, the strengthened possibility of extreme occurrence is detected in the future climate. This study indicates that future climate projection, including surface runoff and its variability over Korea, can be adequately addressed on the RMP testbed. Furthermore, this study reflects that global warming affects local hydrological cycle by changing major water budget components. This study adduces that the importance of runoff should not be overlooked in regional climate studies, and more elaborate presentation of fresh-water cycle is needed to close hydrological circulation in RCMs.

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Improving snow albedo processes in WRF/SSiB regional climate model to assess impact of dust and black carbon in snow on surface energy balance and hydrology over western U.S.

Journal of Geophysical Research Atmospheres ◽

10.1002/2014jd022444 ◽

2015 ◽

Vol 120 (8) ◽

pp. 3228-3248 ◽

Cited By ~ 24

Author(s):

Catalina M. Oaida ◽

Yongkang Xue ◽

Mark G. Flanner ◽

S. McKenzie Skiles ◽

Fernando De Sales ◽

...

Keyword(s):

Energy Balance ◽

Surface Energy ◽

Regional Climate Model ◽

Black Carbon ◽

Surface Energy Balance ◽

Climate Model ◽

Regional Climate ◽

Snow Albedo

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Evaluation of the Hydrological Cycle over the Mississippi River Basin as Simulated by the Canadian Regional Climate Model (CRCM)

Journal of Hydrometeorology ◽

10.1175/jhm627.1 ◽

2007 ◽

Vol 8 (5) ◽

pp. 969-988 ◽

Cited By ~ 132

Author(s):

Biljana Music ◽

Daniel Caya

Keyword(s):

Spatial Distribution ◽

Regional Climate Model ◽

River Basin ◽

Mississippi River ◽

Water Budget ◽

Climate Model ◽

Hydrological Cycle ◽

Water Cycle ◽

Regional Climate ◽

Physical Parameterizations

Abstract The water cycle over a given region is governed by many complex multiscale interactions and feedbacks, and their representation in climate models can vary in complexity. To understand which of the key processes require better representation, evaluation and validation of all components of the simulated water cycle are required. Adequate assessing of the simulated hydrological cycle over a given region is not trivial because observations for various water cycle components are seldom available at the regional scale. In this paper, a comprehensive validation method of the water budget components over a river basin is presented. In addition, the sensitivity of the hydrological cycle in the Canadian Regional Climate Model (CRCM) to a more realistic representation of the land surface processes, as well as radiation, cloud cover, and atmospheric boundary layer mixing is investigated. The changes to the physical parameterizations are assessed by evaluating the CRCM hydrological cycle over the Mississippi River basin. The first part of the evaluation looks at the basin annual means. The second part consists of the analysis and validation of the annual cycle of all water budget components. Finally, the third part is directed toward the spatial distribution of the annual mean precipitation, evapotranspiration, and runoff. Results indicate a strong response of the CRCM evapotranspiration and precipitation biases to the physical parameterization changes. Noticeable improvement was obtained in the simulated annual cycles of precipitation, evapotranspiration, moisture flux convergence, and terrestrial water storage tendency when more sophisticated physical parameterizations were used. Some improvements are also observed for the simulated spatial distribution of precipitation and evapotranspiration. The simulated runoff is less sensitive to changes in the CRCM physical parameterizations.

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Regional climate model data used within the SWURVE project – 1: projected changes in seasonal patterns and estimation of PET

Hydrology and Earth System Sciences ◽

10.5194/hess-11-1069-2007 ◽

2007 ◽

Vol 11 (3) ◽

pp. 1069-1083 ◽

Cited By ~ 70

Author(s):

M. Ekström ◽

P. D. Jones ◽

H. J. Fowler ◽

G. Lenderink ◽

T. A. Buishand ◽

...

Keyword(s):

Regional Climate Model ◽

Climate Model ◽

Hydrological Cycle ◽

Potential Evapotranspiration ◽

Regional Climate ◽

Large Temperature ◽

Hydraulic Systems ◽

Climate Data ◽

North West ◽

North East

Abstract. Climate data for studies within the SWURVE (Sustainable Water: Uncertainty, Risk and Vulnerability in Europe) project, assessing the risk posed by future climatic change to various hydrological and hydraulic systems were obtained from the regional climate model HadRM3H, developed at the Hadley Centre of the UK Met Office. This paper gives some background to HadRM3H; it also presents anomaly maps of the projected future changes in European temperature, rainfall and potential evapotranspiration (PET, estimated using a variant of the Penman formula). The future simulations of temperature and rainfall, following the SRES A2 emissions scenario, suggest that most of Europe will experience warming in all seasons, with heavier precipitation in winter in much of western Europe (except for central and northern parts of the Scandinavian mountains) and drier summers in most parts of western and central Europe (except for the north-west and the eastern part of the Baltic Sea). Particularly large temperature anomalies (>6°C) are projected for north-east Europe in winter and for southern Europe, Asia Minor and parts of Russia in summer. The projected PET displayed very large increases in summer for a region extending from southern France to Russia. The unrealistically large values could be the result of an enhanced hydrological cycle in HadRM3H, affecting several of the input parameters to the PET calculation. To avoid problems with hydrological modelling schemes, PET was re-calculated, using empirical relationships derived from observational values of temperature and PET.

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