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| 1 | Evaluation of Latest TMPA and CMORPH Precipitation Products with Independent Rain Gauge Observation Networks over High-latitude and Low-latitude Basins in China显示文摘The Tropical Rainfall Measuring Mission(TRMM) Multi-satellite Precipitation Analysis(TMPA) and National Oceanic and Atmospheric Administration(NOAA) Climate Prediction Center(CPC) morphing technique(CMORPH) are two important multi-satellite precipitation products in TRMM-era and perform important functions in GPM-era. Both TMPA and CMORPH systems simultaneously upgraded their retrieval algorithms and released their latest version of precipitation data in 2013. In this study, the latest TMPA and CMORPH products(i.e., Version-7 real-time TMPA(T-rt) and gauge-adjusted TMPA(T-adj), and Version-1.0 real-time CMORPH(C-rt) and Version-1.0 gauge-adjusted CMORPH(C-adj)) are evaluated and intercompared by using independent rain gauge observations for a 12-year(2000–2011) period over two typical basins in China with different geographical and climate conditions. Results indicate that all TMPA and CMORPH products tend to overestimate precipitation for the high-latitude semiarid Laoha River Basin and underestimate it for the low-latitude humid Mishui Basin. Overall, the satellite precipitation products exhibit superior performance over Mishui Basin than that over Laoha River Basin. The C-adj presents the best performance over the high-latitude Laoha River Basin, whereas T-adj showed the best performance over the low-latitude Mishui Basin. The two gauge-adjusted products demonstrate potential in water resource management. However, the accuracy of two real-time satellite precipitation products demonstrates large variability in the two validation basins. The C-rt reaches a similar accuracy level with the gauge-adjusted satellite precipitation products in the high-latitude Laoha River Basin, and T-rt performs well in the low-latitude Mishui Basin. The study also reveals that all satellite precipitation products obviously overestimate light rain amounts and events over Laoha River Basin, whereas they underestimate the amount and events over Mishui Basin. The findings of the precision characteristics associated with the latest TMPA and CMORPH precipitation products at different basins will offer satellite precipitation users an enhanced understanding of the applicability of the latest TMPA and CMORPH for water resource management, hydrologic process simulation, and hydrometeorological disaster prediction in other similar regions in China. The findings will also be useful for IMERG algorithm development and update in GPM-era. | JIANG Shanhu REN Liliang YONG Bin HONG Yang YANG Xiaoli YUAN Fei | 2016 | Chinese Geographical Science2016，26，4： | 10 |
| 2 | Hydrological response to land use and land cover changes in a sub-watershed of West Liaohe River Basin,China显示文摘In recent years, the streamflow of the Laohahe Basin in China showed a dramatic decrease during the rainy season as a result of climate change and/or human activities. The objective of this work was to document significant streamflow changes caused by land use and land cover(LULC) changes and to quantify the impacts of the observed changes in Laohahe Basin. In the study area, the observed streamflow has been influenced by LULC changes, dams, and irrigation from rivers, industry, livestock and human consumption. Most importantly, the growth of population and gross domestic product(GDP) accompanied by the growth in industrial and agricultural activities, which led to LULC changes with increased residential land and cropland and decreased grassland since 2000s. Statistical methods and Variable Infiltration Capacity(VIC) hydrological model were used to estimate the effects of climate change and LULC changes on streamflow and evaportranspiration(ET). First, the streamflow data of the study area were divided into three sub-periods according to the Pettitt test. The hydrological process was then simulated by VIC model from 1964 to 2009. Furthermore, we compared the simulated results based on land use scenarios in 1989, 1999 and 2007, respectively for exploring the effect of LULC changes on the spatio-temporal distribution of streamflow and ET in the Laohahe Basin. The results suggest that, accompanied with climate change, the LULC changes and human water consumption appeared to be the most likely factors contributing to the significant reduction in streamflow in the Laohahe Basin by 64% from1999 to 2009. | XiaoLi YANG LiLiang REN Yi LIU DongLai JIAO ShanHu JIANG | 2014 | Journal of Arid Land2014，6，6： | 3 |
| 3 | Potential natural vegetation dynamics driven by future long-term climate change and its hydrological impacts in the Hanjiang River basin, China 显示文摘 | YUAN Fei REN Liliang YU Zhongbo | 2011 | Hydrology Research2011，43，12： | 1 |
| 4 | Hydrologic evaluation of muhisatellite precipitation analysis standard precipitation products in basins beyond its inclined latitude band: a case study in Laohahe basin, China 显示文摘 | YONG Bin REN Liliang HONG Yang | 2010 | Water Resources Research2010，46，7： | 1 |
| 5 | Appli- cation of Remote Sensing Information about Land Use Land Cover in Flood Forecasting with the Xin' anjiang Model 显示文摘 | Ren Liliang An Ru Jiang Hongmei | 2004 | Canadian Journal of Remote Sensing2004，30，5： | 1 |
| 6 | Im- pacts of human activity on river runoff in the northern area of China显示文摘 | Ren Liliang Wang Meiyong Li Chunhong | 2002 | Journal of Hydrology2002，261，14： | 1 |
| 7 | Impacts of human activity on river runoff in the northern area 显示文摘 | Liliang Ren Meirong Wang Chunhong Li | 2002 | Journal of Hydrology2002，61，： | 1 |
| 8 | Impacts of human activity on river runoff in the northern area of China显示文摘 | Ren Liliang Wang Meirong Li Chunhong | | 0，，1： | 1 |
| 9 | Comprehensive evaluation of multi-satellite precipitation products with a dense rain gauge network and optimally merging their simulated hydrological flows using the bayesian model averaging method显示文摘 | Jiang Shanhu Ren Liliang Hong Yang | 2012 | Journal of Hydrology2012，，： | 1 |
| 10 | Impacts of human activity on river runoff in the northern area of China显示文摘 | Ren Liliang Wang Meirong Li Chunhong | 2002 | Journal of Hydrology2002，261，： | 1 |
| 11 | Impacts of human activity on river runoff in the northern area of China显示文摘 | Liliang Ren Meirong Wang Chunhong Li Wei Zhang | 2002 | Journal of Hydrology2002，，1： | 1 |
| 12 | Application of hydrological models in a snowmelt region of Aksu River Basin显示文摘This study simulated and predicted the runoff of the Aksu River Basin, a typical river basin supplied by snowmelt in an arid mountain region, with a limited data set and few hydrological and meteorological stations. Two hydrological models, the snowmelt-runoff model (SRM) and the Danish NedbΦr-AfstrΦmnings rainfall-runoff model (NAM), were used to simulate daily discharge processes in the Aksu River Basin. This study used the snow-covered area from MODIS remote sensing data as the SRM input. With the help of ArcGIS software, this study successfully derived the digital drainage network and elevation zones of the basin from digital elevation data. The simulation results showed that the SRM based on MODIS data was more accurate than NAM. This demonstrates that the application of remote sensing data to hydrological snowmelt models is a feasible and effective approach to runoff simulation and prediction in arid unguaged basins where snowmelt is a major runoff factor. | Ouyang Rulin Ren Liliang Cheng Weiming Yu Zhongbo | 2008 | Water Science and Engineering2008，1，4： | 1 |
| 13 | Evaluation and Hydrological Application of CMADS Reanalysis Precipitation Data against Four Satellite Precipitation Products in the Upper Huaihe River Basin, China显示文摘Satellite-and reanalysis-based precipitation products are important data source for precipitation, particularly in areas with a sparse gauge network. Here, five open-access precipitation products, including the newly released China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool(SWAT) model(CMADS)reanalysis dataset and four widely used bias-adjusted satellite precipitation products [SPPs;i.e., Tropical Rainfall Measuring Mission(TRMM) Multisatellite Precipitation Analysis 3B42 Version 7(TMPA 3B42V7), Climate Prediction Center(CPC) morphing technique satellite–gauge blended product(CMORPH-BLD), Climate Hazards Group Infrared Precipitation with Station Data(CHIRPS), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record(PERSIANN-CDR)], were assessed. These products were first compared with the gauge observed data collected for the upper Huaihe River basin, and then were used as forcing data for streamflow simulation by the Xin’anjiang(XAJ) hydrological model under two scenarios with different calibration procedures. The performance of CMADS precipitation product for the Chinese mainland was also assessed. The results show that:(1) for the statistical assessment, CMADS and CMORPH-BLD perform the best, followed by TMPA 3B42V7, CHIRPS, and PERSIANN-CDR, among which the correlation coefficient(CC) and rootmean-square error(RMSE) values of CMADS are optimal, although it exhibits certain significant negative relative bias(BIAS;-22.72%);(2) CMORPH-BLD performs the best in capturing and detecting rainfall events, while CMADS tends to underestimate heavy and torrential precipitation;(3) for streamflow simulation, the performance of using CMADS as input is very good, with the highest Nash–Sutcliffe efficiency(NSE) values(0.85 and 0.75 for calibration period and validation period, respectively);and(4) CMADS exhibits high accuracy in eastern China while with significant negative BIAS, and the performance declines from southeast to northwest. The statistical and hydrological evaluations show that CMADS and CMORPH-BLD have high potential for observing precipitation. As high negative BIAS values showed up in CMADS evaluation, further study on the error sources from original data and calibration algorithms is necessary. This study can serve as a reference for selecting precipitation products in datascarce regions with similar climates and topography in the Global Precipitation Measurement(GPM) era. | Shanhu JIANG Ruolan LIU Liliang REN Menghao WANG Junchao SHI Feng ZHONG Zheng DUAN | 2020 | Journal of Meteorological Research2020，34，5： | 1 |
| 14 | Impacts of human activity on river runoff in the northern area of China 显示文摘 | Ren Liliang Wang Meirong Li Chunhong | 2002 | Journal of Hydrology2002，261，： | 1 |
| 15 | Quantifying the Effects of Climate Variability and Human Activitieson Runoff from the Laohahe Basin in Northern China UsingThree Different Methods显示文摘 | JIANG Shanhu REN Liliang YONG Bin | 2011 | Hydorlogical Processes2011，，25： | 1 |
| 16 | Quantif-ying the Effects of Climate Variability and HumanActivities on Runoff from the Laohahe Basin inNorthern China Using Three Different Methods显示文摘 | Jiang Shanhu Ren Liliang Yong Bin | 2011 | Hydorlogical Processes2011，25，： | 1 |
| 17 | Comprehensive evaluation of multi-satellite precipitation products with a dense rain gauge network and optimally merging their simulated hydrological flows using the Bayesian model averaging method显示文摘 | Shanhu Jiang Liliang Ren Yang Hong Bin Yong Xiaoli Yang Fei Yuan Mingwei Ma | 2012 | Journal of Hydrology2012，，： | 1 |
| 18 | Comparison of Runoff Parameterization Schemes with Spatial Heterogeneity across Different Temporal Scales in Semihumid and Semiarid Regions 显示文摘 | Ren Liliang Zhang wei Li Chunhong | 2008 | Journal of Hydrologic Engineering2008，13，5： | 1 |
| 19 | Hydrologic evaluation of multisatellite precipitation analysis standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe basin, China显示文摘 | YONG Bin REN Liliang HONG Yang | 2010 | Water Resources Research2010，46，00： | 1 |
| 20 | First evaluation of the climatological calibration algorithm in the real-time TMPA precipitation estimates over two basins at high and low latitudes显示文摘 | YONG Bin REN Liliang HONG Yang | 2013 | Water Resources Research2013，49，5： | 1 |
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