In this work, we use the gridded precipitation dataset (with a resolution of 0.5◦ × 0.5◦) of the eastern part of inland river basin of Inner Mongolian Plateau from 1961–2015 as the basis and adopt the methods of climatic diagnosis (e.g., the Modified Mann-Kendall method, principal component analysis, and correlation analysis) to analyze the spatial and temporal variations of six extreme precipi...

precipitation plays an important role in the global energy and water cycle. special interest in long-term precipitation analyses arises from the need to assess climate change and its impacts on all spatial scales. based on this demand national and international organization initiated and support many research and monitoring programs. there are a lot of centers developing gridded precipitation d...

Data with acceptable gridded resolution of daily climatic variables are critical for hydrological and water resource modeling. The gauge-based interpolation methods usually used by hydrologic models in general do not cover the spatial heterogeneity of the variability of climatic variables in a catchment. The errors in the interpolated data fields have the potential to significantly bias hydrolo...

Over the past few decades, several high-resolution gridded precipitation products have been developed using multiple data sources and techniques, including measured precipitation, numerical modeling, remote sensing. Each has its own sets of uncertainties limitations. Therefore, evaluating these datasets is critical in assessing their applicability various climatic regions. We used ten datasets,...

Weather and climate affect many ecological processes, making spatially continuous yet fine-resolution weather data desirable for ecological research and predictions. Numerous downscaled weather data sets exist, but little attempt has been made to evaluate them systematically. Here we address this shortcoming by focusing on four major questions: (1) How accurate are downscaled, gridded climate d...

A statistical approach is used to explore the variability of precipitation and meteorological drought in Mexico’s Rı́o Yaqui basin on seasonal-to-decadal timescales. For this purpose, a number of custom datasets have been developed, including a monthly 1900-2004 precipitation index for the Yaqui basin created by merging two gridded land-surface precipitation products, a 350-year tree-ring based ...

This paper reports the error analysis results for the gridded daily precipitation data over the state of Texas of the United States from January 1, 1901 to December 31, 2000. The Global Daily Climatology Network dataset is used for both the data gridding and error analysis. The station data have been interpolated onto a 0.2° × 0.2° grid which starts at the base point (25°50′N, 106°38′W). The da...