Open AccessJournal Article
A gridded daily observation dataset over China region and comparison with the other datasets
TLDR
In this paper, a new gridded daily dataset with the resolution of 0.25°latitude by 0.75°longitude, CN05.1, is constructed for the purpose of high resolution climate model validation over China region.Abstract:
A new gridded daily dataset with the resolution of 0.25°latitude by 0.25°longitude,CN05.1,is constructed for the purpose of high resolution climate model validation over China region.The dataset is based on the interpolation from over 2400observing stations in China,includes 4variables : daily mean,minimum and maximum temperature,daily precipitation.The " anomaly approach " is applied in this interpolation.The climatology is first interpolated by thinplate smoothing splines and then a gridded daily anomaly derived from angular distance weighting method is added to climatology to obtain the final dataset.Intercomparison of the dataset with other three daily datasets,CN05for temperature,and EA05and APHRO for precipitation is conducted.The analysis period is from 1961to 2005.For multi-annual mean temperature variables,results show small differences over eastern China with dense observation stations,but larger differences(warmer) over western China with less stations between CN05.1and CN05.The temperature extremes are measured by TX3D(mean of the 3greatest maximum temperatures in a year) and TN3D(mean of the 3lowest minimum temperatures).CN05.1in general shows a warmer TX3Dover China,while a lower TN3Din the east and greater TN3Din the west are found compared to CN05.A greater value of annual mean precipitation compared to EA05and APHRO,especially to the latter,is found in CN05.1.For precipitation extreme of R3D(mean of the 3largest precipitations in a year),CN05.1presents lower value of it in western China compared to EA05.read more
Citations
More filters
Book ChapterDOI
Extreme Precipitation Events, Floods, and Associated Socio-Economic Damages in China in Recent Decades
Weili Duan,Kaoru Takara +1 more
TL;DR: In recent decades, extreme precipitation events have increased in frequency and magnitude over the world under climate change, causing more water-related disasters such as floods, droughts, tropical cyclones, landslides, and tsunami.
Journal ArticleDOI
Climate change rather than vegetation greening dominates runoff change in China
TL;DR: In this paper , the authors developed a process-based distributed hydrological model that couples a nonlinear runoff generation mechanism with a remotely-sensed evapotranspiration (ET) module.
Journal ArticleDOI
Underestimated increase and intensification of humid-heat extremes across southeast China due to humidity data inhomogeneity
TL;DR: The authors reported ubiquitous inhomogeneity in RH series in these popularly-used datasets, which accordingly produce unrealistically strong drying trends 2-3 times the homogenized dataset-based estimate during 1979-2013 in warm-moist southeast China.
Development of a novel daily-scale compound dry and hot index and its application across non-arid regions of China
TL;DR: Wang et al. as mentioned in this paper proposed a daily-scale compound dry and hot index (DCDHI) by jointing daily Standardized Moisture Anomaly Index (SZI) and Standardized Temperature Index (STI) using Copula.
Journal ArticleDOI
Extreme Summer Precipitation Characteristics and Associated Water Vapor Transport in Southern Xinjiang
Chenxi Jin,Qing He,Qian Huang +2 more
TL;DR: In this paper , the spatial and temporal characteristics of extreme precipitation in summer in southern Xinjiang (SXJ) using CN05.1 daily precipitation data, the National Centers for Environmental Prediction (NCEP) monthly average data, and ERA5 four-times-daily reanalysis data from 1961 to 2020, determined the interdecadal variation in extreme precipitation, and further explored the circulation mechanisms and anomalous water vapor transport characteristics associated with changes in Extreme precipitation.
Related Papers (5)
The ERA-Interim reanalysis: configuration and performance of the data assimilation system
Dick Dee,S. Uppala,Adrian Simmons,Paul Berrisford,Paul Poli,Shinya Kobayashi,Ulf Andrae,Magdalena Balmaseda,Gianpaolo Balsamo,Peter Bauer,Peter Bechtold,Anton Beljaars,L. van de Berg,Jean Bidlot,Niels Bormann,C. Delsol,Rossana Dragani,Manuel Fuentes,Alan J. Geer,Leopold Haimberger,Sean Healy,Hans Hersbach,Elías Hólm,Lars Isaksen,P. Kallberg,Martin Köhler,Marco Matricardi,A. P. McNally,B. M. Monge-Sanz,Jean-Jacques Morcrette,B.-K. Park,Carole Peubey,P. de Rosnay,Christina Tavolato,Jean-Noël Thépaut,Frederic Vitart +35 more
The NCEP/NCAR 40-Year Reanalysis Project
Eugenia Kalnay,Masao Kanamitsu,Robert Kistler,William D. Collins,D.G. Deaven,L. S. Gandin,M. Iredell,Suranjana Saha,Glenn H. White,John S. Woollen,Yuejian Zhu,Muthuvel Chelliah,Wesley Ebisuzaki,Wayne Higgins,John E. Janowiak,Kingtse C. Mo,Chester F. Ropelewski,Julian X. L. Wang,Ants Leetmaa,Richard W. Reynolds,Roy L. Jenne,Dennis Joseph +21 more