Near-surface air temperature inversion method

A near-ground, air-temperature technology, applied in image data processing, instruments, image data processing, etc., can solve problems such as inability to realize all-weather monitoring, analysis application technology and software analysis method lag, and inability to overcome cloud interference

Active Publication Date: 2015-05-27
GUANGXI INST OF METEOROLOGICAL DISASTER REDUCING RES +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the thermal infrared remote sensing data of polar orbiting satellites such as MODIS and FY2/FY3 can be used to retrieve the near-surface air temperature, it cannot overcome the interference of clouds and cannot realize all-weather monitoring
[0009] In the past few year

Method used

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  • Near-surface air temperature inversion method

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Embodiment 1

[0098] A near-surface air temperature inversion method, comprising the steps of:

[0099] Step Ⅰ. Create the original data set

[0100] (1) Determine the target area and target time point where near-surface temperature inversion needs to be performed, determine the location of the unmanned weather station on the target area, and take the target time point as the center of the left and right 2 to 72 hours as the sampling time period, The time when the measured temperature is recorded by the unmanned weather station during the sampling period is taken as the sampling time point.

[0101] This embodiment takes the whole territory of Guangxi as the target area, and collects the measured temperature of 993 unmanned weather stations in the whole territory of Guangxi once an hour, and collects the hourly satellites of MODIS satellite and FY2C / D satellite at 05 o'clock on January 05, 2009 Data; with the target time point at 05:00 on January 5, 2009, the sampling period is from 3:00 t...

Embodiment 2

[0161] Step Ⅰ. Create Raw Data Recordset

[0162] In this embodiment, for the whole of Guangxi from January 3, 2009 to January 16, 2009, the time when MODIS passed through the territory of Guangxi was taken as the target and the target time point, left and right 2 to 72 hours, was used as the sampling time period, and multiple During the sampling period, the original data record set AutoVEC obtained a total of 260,000 data records. Take 30,000 pairs of samples to build the model, and the remaining 230,000 pairs of samples to test the inversion effect of the model.

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Abstract

The invention discloses a near-surface air temperature inversion method comprising the following steps: establishing an original data record set of an unmanned weather station; constructing a first sub-pattern learning set and a first sub-pattern validation set; and acquiring a second sub-pattern to a fth sub-pattern, performing near-surface air temperature inversion to acquire a near-surface air temperature inversion image map of a target zone, and performing error correction to acquire a corrected near-surface air temperature inversion image map. According to the near-surface air temperature inversion method disclosed by the invention, the near-surface air temperature inversion is performed by collecting actually-measured air temperature of the unmanned weather station, collecting meteorological satellite data, DEM data and astronomy and calendar rules and also adopting a super nonlinear algorithm, and the near-surface air temperature inversion image map is then calculated by using a high-performance computer. Results show that the near-surface air temperature inversion method disclosed by the invention is relatively high in pattern accuracy, high in result reliability and strong in generalization ability, and ensures that the interferences of clouds, terrains and the like can be overcome; and a constructed CPU+GPU heterogeneously-cooperative parallel computer ensures that the computation speed can be increased by more than 1000 times, so that the near-surface air temperature inversion method is convenient for large-area application and computing capacity expansion.

Description

technical field [0001] The invention relates to the field of meteorological data processing, in particular to a near-surface air temperature inversion method. Background technique [0002] The air temperature near the surface refers to the air temperature of the shutter box 1.5 meters above the ground. It is an important parameter in the energy balance of the surface and an important physical quantity in the interaction process between the ground and the atmosphere. It can reflect the visible and potential energy of the soil and underground. Change is an important factor affecting human production activities. Crops, forest growth and development, development and evolution of diseases and insect pests, low-temperature freezing disasters and high-temperature hazards are all related to the near-surface temperature. In addition, complete near-surface temperature is also an important factor for accurate forecasting of various meteorological elements [Zhao Gaoxiang, Wang Hongqi. ...

Claims

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Application Information

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IPC IPC(8): G06T1/00
Inventor 秦江林杨秀好符合雷秀峰
Owner GUANGXI INST OF METEOROLOGICAL DISASTER REDUCING RES
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