World Meteorological Day

  This study employs the K-means clustering algorithm to partition warm-season precipitation in Zhejiang Province into distinct regions. A frequency matching bias correction method is then applied to enhance the spatial and temporal accuracy of the objective consensus forecasting (OCF) 0.05° × 0.05° model precipitation forecast data for the region. The corrected forecasts are subsequently evaluated against the original model outputs. The key findings include:  (1) Zhejiang Province is optimally divided into four regions characterized by similar precipitation patterns, which exhibit distinct regional features closely linked to the province’s topography and geomorphology. The correction has the most significant impact in northwestern Zhejiang, while its effects are less pronounced in the northeastern coastal areas.  (2) Both overall correction and regional correction improve forecast accuracy across various precipitation thresholds. Regional correction consistently outperfo...

  Utilizing ERA5 monthly averaged data from 1981 to 2022, ERA5 hourly data from 2018 to 2022, and observed hourly precipitation data at the airports of the Civil Aviation Flight University of China (CAFUC), the variation characteristics of short-duration heavy rainfall (SHR) and the environmental conditions of each synoptic category were studied by classifying large-scale synoptic circulations related to SHR. The results indicated the following: Synoptic circulation was classified into four categories for the 71 SHR selected based on the criteria: vortex (14 cases), low-pressure trough (29 cases), subtropical high (26 cases), and other categories (2 cases). The average precipitation amount (PA) and precipitation frequency (PF) increased from 00:00 on the day of the SHR to 00:00 the next day, peaking at night, with the largest values in the vortex category and peaking earlier than the other two. The average precipitation intensity (PI) was largest in the subtropical high (9.3 mm/h),...

The aim of this study was to look at the potential effects of climate change on the Bilate watershed’s crop water requirements (CWRs) . Under two climate scenarios (RCP4.5 and RCP8.5), the CWR was anticipated for 2021–2050 and 2071–2100. The power transformation (PT) and variance scaling (VARI) methods were employed to correct biases in the rainfall and temperature climate variables, respectively. The CROPWAT 8.0 model was used to simulate CWRs and crop irrigation requirements (CIRs) for both the current and future periods. Read the research paper!

  Understanding evapotranspiration (ET) variation is crucial for water management and to comprehend the direction of hydroclimatic fluctuations in a changing world. This study aimed to investigate the inter- and intra-annual variation of ET in the data-sparse Guder River watershed using the appropriate ET estimation model. We have evaluated the performance of two widely used remote sensing ETs and three temperature and radiation-based ET models and selected the best-performing data. We have used innovative trend analysis (ITA) and harmonic analysis to find the general trends and periodic variations in ET. The long-term mean ET of the Guder River watershed ranged from 701.7 to 841 mm per year. Over the past two decades, there has been a general declining trend in annual ET. The analysis of seasonal variation showed considerable fluctuations in ET, with the lowest value of 26.7 mm in winter and the highest value of 159 mm in autumn. The seasonal data analysis revealed that the declin...