Day time scale-based rainfall generator

A time-scale, precipitation technique for instrumentation, climate sustainability, design optimization/simulation, etc.

Active Publication Date: 2018-09-28
PEKING UNIV
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Examples

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. One station is selected from each of the three regional categories, and the multi-year precipitation data of the three stations are analyzed;

[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 with 3 ;

[0046] ④Extreme precipitation event attributes

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

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Abstract

Aiming at the problems that terrestrial ecosystems are relatively short in historical period rainfall record data of partial regions and large in data loss of a plurality of years, the invention discloses a rainfall generator taking days as time scales. The generator inputs rainfall data, measured on the basis of a target region, of each year, each month and each day in a long term. At first, a frequency distribution of a rainfall precipitation of each month, average rainfall precipitations of each month and each day, maximum rainfall precipitations of each month and each day and an annual number of rainfall days is determined; feature parameters of distribution curves are extracted; an index equation is constructed to simulate and generate daily rainfall precipitations; and the daily rainfall precipitations are accumulated to obtain monthly rainfall precipitations and annual rainfall precipitations. Simulated time sequence data is compared and verified with measured data on the time scales of year and month. After the verification, the rainfall generator considers the distribution of extreme rainfall events, so that the rainfall generator can better reflect the laws of rainfall distributions under natural conditions. The rainfall generator is beneficial for assessing the influences, on hydrologic cycle of the terrestrial ecosystems, of rainfalls and predicting the ecological effects of climate changes.

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 Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20Y02A90/10
Inventor 郭通唐艳鸿
Owner PEKING UNIV
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