检索结果-南通市图书馆

Evaluation and Hydrological Application of CMADS Reanalysis precipitation Data against Four satellite precipitation Products in the Upper Huaihe River Basin, China

引用

Journal of Meteorological Research 2020年第5期34卷 1096-1113页

作者： Shanhu JIANG Ruolan LIU Liliang REN Menghao WANG Junchao SHI Feng ZHONG Zheng DUAN State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai UniversityNanjing 210098China Hydrology and Water Resources Monitoring and Forecasting Center Ministry of Water ResourcesBeijing 100053China Department of Physical Geography and Ecosystem Science L und UniversityLund S-22362Sweden

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,

关键词： reanalysis precipitation data China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool(SWAT)model(CMADS) satellite precipitation hydrological evaluation Xin’anjiang(XAJ)hydrological model

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Disintegration of uncertainties associated with real-time multi-satellite precipitation products in diverse topographic and climatic area in Pakistan

引用

Journal of Mountain Science 2021年第3期18卷 716-734页

作者： Muhammad MASOOD Ghulam NABI Muhammad BABUR Aftab Hussain AZHAR Muhammad KALEEM ULLAH Centre of Excellence in Water Resources Engineering University of Engineering&Technology GT-RoadLahore 54890Pakistan Civil Engineering Department University of Central PunjabLahore 54782Pakistan Directorate of Hydrology Pakistan Water&Power Development Authority(WAPDA)MDO-WAPDAMangla Dam10200Pakistan Civil Engineering Department University of LahoreLahore 54000Pakistan

satellite-based precipitation Estimates(SPEs)have gained importance due to enhanced spatial and temporal resolution,particularly in Indus basin,where raingauge network has fewer observation stations and drainage area is laying in many *** of SPEs is based on indirect mechanism,therefore,assessment and correction of associated uncertainties is *** the present study,disintegration of uncertainties associated with four prominent real time SPEs,IMERG,TMPA,CMORPH and PERSIANN has been conducted at grid level,regional scale,and summarized in terms of regions as well as whole study area *** bias has been disintegrated into hit,missed,false biases,and Root Mean Square Error(RMSE)into systematic and random errors.A comparison among gauge-and satellite-based precipitation estimates at annual scale,showed promising result,encouraging use of real time SPEs in the study *** grid basis,at daily scale,from box plots,the median values of total bias(-0.5 to 0.5 mm)of the used SPEs were also encouraging although some under/over estimations were noted in terms of hit bias(-0.15 to 0.05 mm/day).Relatively higher values of missed(0.3 to 0.5 mm/day)and false(0.5 to 0.7 mm/day)biases were *** detected average daily RMSE,systematic errors,and random errors were also comparatively ***-scale spatial distribution of uncertainties revealed lower values of uncertainties in plain areas,depicting the better performance of satellite-based products in these ***,in areas of high altitude(>4000 m),due to complex topography and climatic conditions(orographic precipitation and glaciated peaks)higher values of biases and errors were *** barriers and point scale gauge data could also be a cause of poor performance of SPEs in these areas,where precipitation is more on ridges and less in valleys where gauge stations are usually *** system’s size and intensity can also be a reason of higher biases,because M

关键词： satellite precipitation Real-time Error characterization IMERG Indus Basin

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Ground validation of Fengyun-4A and Global precipitation Measurement satellite observations over an alpine and canyon basin of the southeastern Tibetan Plateau

引用

Journal of Mountain Science 2022年第12期19卷 3568-3581页

作者： LONG Yin-ping CHEN Gong-yan MA Qin-min CHEN Jun College of Environmental and Resource Science Chengdu University of Information TechnologyChengdu 610225China Linzhi Meteorological Bureau Linzhi 860000China

satellite-based precipitation observations with high spatiotemporal resolution are essential for studying rainfall-induced natural hazards,especially in alpine and canyon areas of the southeastern Tibetan Plateau,which are prone to such hazards yet sparsely ***,we evaluated precipitation estimated from the Chinese Fengyun-4A meteorological satellite(FY-4A AGRI)versus the Integrated Multi-satellite Retrievals for GPM(IMERG),by using rain gauge data collected in the Parlung Zangbo Basin from May through September in both 2018 and *** results showed that(1)FY-4A AGRI generated smaller values of RMSE(root mean square error)on hourly to daily scales,and larger correlation coefficients(R-values)and smaller RMSE values for both moderate and heavy rain,indicating its greater accuracy at rainfall estimation,which is most likely due to the denser rain gauge network at a finer temporal scale used when calibrating FY-4A AGRI;(2)Both satellite products underestimated the volume of moderate and heavy rain,with the larger degree of underestimation by FY-4A AGRI,which could lower their performance in flood monitoring and forecasting;(3)Worse performance and greater inconsistency between the two products were observed in high-elevation areas,perhaps because of orographic cloud effects in these mountainous areas;and(4)Both products revealed that the Gangrigabu Range blocked incoming water vapor from the southwest monsoon,with a better representation of the spatial pattern and spatial variability produced by *** improve precipitation estimation,the effects of complex terrain should be explicitly incorporated into the retrieval algorithms,with more gauged observations in a denser network and at a finer temporal scale needed to robustly calibrate the satellite-based estimates.

关键词： satellite precipitation Evaluation Fengyun satellite IMERG Mountainous area Parlung Zangbo Basin

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Drought monitoring and reliability evaluation of the latest TMPA precipitation data in the Weihe River Basin, Northwest China

引用

Journal of Arid Land 2017年第2期9卷 256-269页

作者： JIANG Shanhu REN Liliang ZHOU Meng YONG Bin ZHANG Yu MA Mingwei State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University Department of Civil and Environmental Engineering Princeton University School of Water Conservancy North China University of Water Resources and Electric Power

The high resolution satellite precipitation products bear great potential for large-scale drought monitoring, especially for those regions with sparsely or even without gauge coverage. This study focuses on utilizing the latest Version-7 TRMM Multi-satellite precipitation Analysis （TMPA 3B42V7） data for drought condition monitoring in the Weihe River Basin （0.135×10^6 km2）. The accuracy of the monthly TMPA 3B42V7 satellite precipitation data was firstly evaluated against the ground rain gauge observations. The statistical characteristics between a short period data series （1998-2013） and a long period data series （1961-2013） were then compared. The TMPA 3B42V7-based SPI （Standardized precipitation Index） sequences were finally validated and analyzed at various temporal scales for assessing the drought conditions. The results indicate that the monthly TMPA 3B42V7 precipitation is in a high agreement with the rain gauge observations and can accurately capture the temporal and spatial characteristics of rainfall within the Weihe River Basin. The short period data can present the characteristics of long period record, and it is thus acceptable to use the short period data series to estimate the cumulative probability function in the SPI calculation. The TMPA 3B42V7-based SPI matches well with that based on the rain gauge observations at multiple time scales （i.e., 1-, 3-, 6-, 9-, and 12-month） and can give an acceptable temporal distribution of drought conditions. It suggests that the TMPA 3B42V7 precipitation data can be used for monitoring the occurrence of drought in the Weihe River Basin.

关键词： TMPA satellite precipitation drought monitoring SPI Weihe River Basin

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Comparison of TRMM and Water District Rain Rates over New Mexico

引用

Advances in Atmospheric Sciences 2006年第1期23卷 1-13页

作者： Long S. CHIU Zhong LIU Jearanai VONGSAARD Stanley MORAIN Amy BUDGE Paul NEVILLE Chandra BALES NASA/Goddard Space Flight Center Distributed Active Archive Center Greenbelt Maryland 20771 USA Center for Earth Observing and Space Research School of Computational Sciences George Mason University Fairfax Virginia 22030-4444 USA Earth Data Analysis Center University of New Mexico Albuquerque New Mexico 87131 USA Thai Royal Military Academy Bangkok Thailand

This paper compares monthly and seasonal rain rates derived from the Version 5 （V5） and Version 6 （V6） TRMM precipitation Radar （TPR, TSDIS reference 2A25）, TRMM Microwave Imager （TMI, 2A12）, TRMM Combined Instrument （TCI, 2B31）, TRMM calibrated IR rain estimates （3B42） and TRMM merged gauge and satellite analysis （3B43） algorithms over New Mexico （NM） with rain gauge analyses provided by the New Mexico water districts （WD）. The average rain rates over the NM region for 1998- 2002 are 0.91 mm d^-1 for WD and 0.75, 1.38, 1.49, 1.27, and 1.07 mm d^-1 for V5 3B43, 3B42, TMI, PR and TCA; and 0.74, 1.38, 0.87 and 0.97 mm d^-1 for V6 3B43, TMI, TPR and TCA, respectively. Comparison of V5 3B43 with WD rain rates and the daily TRMM mission index （TPR and TMI） suggests that the low bias of V5 3B43 for the wet months （summer to early fall） may be due to the non-inclusion of some rain events in the operational gauge analyses that. are used in the production of V5 3B43. Correlation analyses show that the WD rain rates vary in phase, with higher correlation between neighboring WDs. High temporal correlations （〉0.8） exist between WD and the combined algorithms （3B42, 3B43 and TCA for both V5 and V6） while satellite instrument algorithms （PR, TMI and TCI） are correlated best among themselves at the monthly scale. Paired t-tests of the monthly time series show that V5 3B42 and TMI are statistically different from the WD rain rates while no significant difference exists between WD and the other products. The agreements between the TRMM satellite and WD gauge estimates are best for the spring and fall and worst for winter and summer. The reduction in V6 TMI （-7.4%） and TPR （-31%） rain rates （compared to V5） results in better agreement between WD estimates and TMI in winter and TPR during summer.

关键词： satellite precipitation TRMM Water District New Mexico surface rain

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A New Method to Compare Hourly Rainfall between Station Observations and satellite Products over Central–Eastern China

引用

Journal of Meteorological Research 2016年第5期30卷 737-757页

作者： CHEN Haoming YU Rucong SHEN Yan State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing 100081 National Meteorological Information Center Beijing 100081

This study employs a newly defined regional-rainfall-event （RRE） concept to compare the hourly charac- teristics of warm-season （May September） rainfall among rain gauge observations, China merged hourly pre- cipitation analysis （CMPA-Hourly）, and two commonly used satellite products （TRMM 3B42 and CMORPH） By considering the rainfall characteristics in a given limited area rather than a single point or grid, this method largely eliminates the differences in rainfall characteristics among different observations or measure- ments over central-eastern China. The results show that the spatial distribution and diurnal variation of RRE frequency and intensity are quite consistent among different datasets, and the performance of CMPA- Hourly is better than the satellite products when compared with station observations. A regional rainfall coefficient （RRC）, which can be used to classify local rain and regional rain, is employed to represent the spatial spread of rainfall in the limited region defining the RRE. It is found that rainfall spread in the selected grid box is more uniform during the nocturnal to morning hours over central-eastern China. The RRC tends to reach its diurnal maximum several hours after the RRE intensity peaks, implying an in- termediate transition stage from convective to stratiform rainfall. In the afternoon, the RRC reaches its minimum, implying the dominance of local convections on small spatial scale in those hours, which could cause large differences in rain gauge and satellite observations. Since the RRE method reflects the overall features of rainfall in a limited region rather than at a fixed point or in a single grid, the widely recognized overestimation of afternoon rainfall in satellite products is more reliable in representing sub-daily variation of rainfall a reasonable method to compare satellite products with which also has great potential to be used in evaluating the numerical models. not obvious, and thus the satellite estimates are

关键词： regional rainfall event regional rainfall coefficient diurnal variation spatial spread satellite precipitation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Spatial and Temporal Validation of In-Situ and satellite Weather Data for the South West Agricultural Region of Australia

引用

Journal of Meteorological Research 2022年第1期36卷 175-192页

作者： Tristan CAMPBELL Peter FEARNS Centre for Mine Site Restoration Curtin University of TechnologyWA 6102Australia Remote Sensing and satellite Research Group Curtin University of TechnologyWA 6102Australia

Seasonal variations in weather have significant impacts on crop *** accuracy of weather data is an important consideration for crop yield *** study uses an independent in-situ weather station network to validate the accuracy of monthly temperature and precipitation data from the in-situ weather station network operated by the Bureau of Meteorology(BOM),interpolated gridded data from this network,and satellite weather data for the South West Agricultural Region of *** region covers five classes of the K?ppen-Geiger climate classification system and is responsible for 10 billion AUD of agricultural produce annually.A strong bias was found for the maximum temperatures in the Copernicus LST(land surface temperature)satellite *** bias was linearly correlated with the in-situ temperature and exceeded 20℃in warmer *** to the bias’s linear nature,a linear correction was able to reduce the root-mean-square error(RMSE)of the Copernicus LST product by 82%.This process was tested for other regions of Australia and,despite some regional differences,a linear correction consistently reduced RMSE by 80%.The validation process demonstrated that the dataset with reliably the lowest RMSE is the gridded weather data calculated from BOM’s in-situ weather *** neighbor in-situ weather stations generally had the next lowest RMSE,followed by weather-station corrected satellite products and lastly the non-weather station corrected satellite *** the in-situ gridded product generally had the lowest RMSE,there were spatial and seasonal *** maximum temperatures were more accurately measured by the bias-corrected Copernicus LST product in the northern and eastern extents(where there is a lower density of BOM in-situ stations).Monthly minimum temperatures from the Copernicus LST product had similar to slightly better RMSE than the Australian Water Availability Project(AWAP)product for the southern half of the study ar

关键词： Australian Water Availability Project land surface temperature satellite precipitation validation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Evaluation of Latest TMPA and CMORPH precipitation Products with Independent Rain Gauge Observation Networks over High-latitude and Low-latitude Basins in China

引用

Chinese Geographical Science 2016年第4期26卷 439-455页

作者： JIANG Shanhu REN Liliang YONG Bin HONG Yang YANG Xiaoli YUAN Fei State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University School of Civil Engineering and Environmental Sciences School of Meteorology University of Oklahoma

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-l.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

关键词： satellite precipitation Tropical Rainfall Measuring Mission (TRMM) Multi-satellite precipitation Analysis (TMPA) Cli-mate Prediction Center morphing technique (CMORPH) precision evaluation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：