Long-Term Projection of Water Cycle Changes over China Using RegCM

نویسندگان

چکیده

The global water cycle is becoming more intense in a warming climate, leading to extreme rainstorms and floods. In addition, the delicate balance of precipitation, evapotranspiration, runoff affects variations soil moisture, which vital importance agriculture. A systematic examination climate change impacts on these variables may help provide scientific foundations for design relevant adaptation mitigation measures. this study, long-term over China are explored using Regional Climate Model system (RegCM) developed by International Centre Theoretical Physics. performance validated through comparing simulation results with remote sensing data gridded observations. show that RegCM can reasonably capture spatial seasonal three dominant (i.e., runoff). Long-term projections driving boundary conditions Geophysical Fluid Dynamics Laboratory Earth System under Representative Concentration Pathways (RCPs). increased annual average precipitation evapotranspiration be found most parts domain, while smaller part domain projected runoff. Statistically significant increasing trends (at level 0.05) detected 0.02 0.01 mm/day per decade, respectively, RCP4.5 both 0.03 decade RCP8.5. There no trend future anomalies. mainly occur wet season, increase decreases. changes minus larger than those runoff, implying possible decrease moisture.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

long term spatiotemporal changes of net radiation flux over iran

1. introduction the process by which the net radiation is transformed to the atmospheric dynamical energy, occur to a large degree at the interface between the surface and the atmosphere. as the driving force for such process, an accurate estimation of the net radiation at the earth’s surface is a necessary input for surface process models. net radiation is a key component in the surface radiat...

متن کامل

Long-Term (1969-2013) Changes of Water Parameters in Neka and Tajan Rivers, Mazandaran, Iran

Background: Iran is located in the global arid zone. With an average rainfall of less than 250 mm. 25 percent is Iran of located in hyper-dry area and 40 percent in the arid area. In 2007, the World Bank report declared the annual reduction of freshwater resources in Iran 6 times more than global standards and indicators. Since at present, in Iran most available fresh water enters the water eco...

متن کامل

Analysis of Water Characteristics of Black Soil over Long-term Experimental Researches in Northeast China

Long-term investigations of soil moisture at different precipitation patterns in the black soil in Hailun county, Northeast China were made. This area is an important base for marketable grains production due to a short cultivation history, high soil organic matter content, and high yield potential. In this region, precipitation is the principal water source during the cropping season, hence so...

متن کامل

Long-term Change in Summer Water Vapor Transport over South China in Recent Decades

This article investigated the long-term variation of the boreal summer (JJA) moisture circulation over South China (SC). The total precipitable water (TPW) and moisture convergence over SC have increased obviously, such trend is not a local phenomenon, but the result of large-scale circulation anomaly. In the past few decades, the water vapor transport from southern hemisphere and subtropical w...

متن کامل

Study on Long-term Aerosol Distribution over the Land of East China Using MODIS Data

East China is among the fastest developing area in Asia, where atmospheric aerosol loading is high due to heavy urban and industrial emission. The Moderate Resolution Imaging Spectroradiometer (MODIS) level 2 aerosol products (2000–2007) were used to study aerosol spatial and temporal distributions, as well as their variations with local meteorological conditions over East China. By combining A...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2072-4292']

DOI: https://doi.org/10.3390/rs13193832