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A method for simulating daily precipitation based on measured multi-year precipitation data

A technology of measured data and precipitation, applied in special data processing applications, climate sustainability, design optimization/simulation, etc.

Active Publication Date: 2021-06-04
PEKING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

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  • A method for simulating daily precipitation based on measured multi-year precipitation data
  • A method for simulating daily precipitation based on measured multi-year precipitation data
  • A method for simulating daily precipitation based on measured multi-year precipitation data

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Experimental program
Comparison scheme
Effect test

Embodiment

[0038] Apply the precipitation generator in this paper to a province in Northwest China, which is arid, semi-arid, and semi-humid

[0039] ①The province covers arid, semi-arid, and semi-humid regions, and one station is selected from each of the three regional categories to analyze the multi-year precipitation data of the three stations;

[0040] Table 1 Time series trend of precipitation in one year

[0041]

[0042] ②Daily precipitation simulation

[0043] Using the exponential equation to generate precipitation for each day of the year, the process is repeated over and over again to generate multi-year data, the results are shown in figure 1 ;

[0044] ③Validation of simulated precipitation data

[0045] Comparing observed and simulated precipitation data on annual and monthly timescales, see figure 2 and 3 ;

[0046] ④Extreme precipitation event attributes

[0047] According to the actual precipitation data, the number of days with moderate precipitation, the nu...

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Abstract

The present invention aims at the problem that the time of precipitation record data in some areas of the terrestrial ecosystem is relatively short and the amount of data missing in several years is large, and a precipitation generator capable of generating a day as the time scale is invented. The input to the generator is based on long-term annual, monthly, and daily precipitation data observed in the target area. First determine the frequency distribution of monthly precipitation, monthly average daily precipitation, monthly maximum daily precipitation, and annual precipitation days, extract the characteristic parameters of the distribution curve, construct an exponential equation to simulate the daily precipitation, and accumulate it to obtain the monthly and annual precipitation. The simulated time series data are compared with the measured data on the annual and monthly time scales. The distribution of extreme precipitation events is considered in the verified precipitation generator, so that the precipitation generator can better reflect the law of precipitation distribution under natural conditions. It helps to assess the impact of precipitation on the hydrological cycle of terrestrial ecosystems and predict the ecological effects of climate change.

Description

technical field [0001] The invention belongs to the field of environmental change monitoring of terrestrial ecosystems, and relates to a method for generating long-term sequence, continuous, and day-based time-scale precipitation by means of mathematical modeling simulation based on actually measured multi-year precipitation data. Background technique [0002] Research on the impact of climate change on terrestrial ecosystems largely relies on the use of time-series climate data and the analysis of climate variability on daily, monthly and annual scales. Due to the complexity of terrestrial ecological processes, interregional differences and the lack of long-term and large-spatial-scale measurement data of key ecological components in the system, models are an effective way to assess and predict changes in ecosystem components. Terrestrial ecosystem models usually require the input of long-term climate data to evaluate the uncertainty of the model output and accurately measu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
CPCG06F30/20Y02A90/10
Inventor 郭通唐艳鸿
Owner PEKING UNIV
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