Search

CN-122019984-A - Ocean environment observation data quality control method based on disposable temperature and salt depth meter

CN122019984ACN 122019984 ACN122019984 ACN 122019984ACN-122019984-A

Abstract

A marine environment observation data quality control method based on a disposable temperature and salt depth instrument belongs to the technical field of marine observation and comprises the following steps of 1, performing range correction on observation data, 2, performing surface transient response correction on the observation data, 3, performing peak detection correction on the observation data, 4, performing vertical gradient detection correction on the observation data, 5, performing systematic depth deviation correction on the observation data, 6, performing marine physical rule constraint correction on the observation data, and 7, performing statistic analysis constraint correction on the observation data. The invention corrects the seawater temperature, salinity and depth observation results of the disposable temperature and salt depth instrument, and can effectively improve the reliability of the marine environment observation results of the disposable temperature and salt depth instrument.

Inventors

  • LIU JINGYI
  • CHEN JIE
  • Guo Wuhong
  • XIA HAOFENG
  • CUI BAOLONG
  • ZHANG LIN

Assignees

  • 中国人民解放军海军潜艇学院

Dates

Publication Date
20260512
Application Date
20260409

Claims (8)

  1. 1. The marine environment observation data quality control method based on the disposable temperature and salt depth meter is characterized by comprising the following steps of: The method comprises the steps of 1, carrying out range correction on observed data, determining a theoretical observation range of temperature and salinity observed data based on marine satellite remote sensing data and a high-resolution marine analysis data set of the actual observation time and the position of the abandoned type thermal salt depth instrument, combining the temperature and salinity designed measurement range of the abandoned type thermal salt depth instrument, determining an effective temperature and salinity observed data range, determining a theoretical maximum value of depth observed data based on actual measured submarine topography data or a high-resolution submarine topography data set of the position of the abandoned type thermal salt depth instrument, combining the maximum measurement depth of the abandoned type thermal salt depth instrument, determining an effective depth observed data range, taking the observed result exceeding the temperature, salinity and depth observed data range as an abnormal value, and rejecting; Setting a threshold value of the depth of the transient response correction of the surface layer, regarding the observed data with the depth lower than the threshold value as an abnormal value of the transient response of the surface layer, and eliminating; Calculating peak detection values of the observed profile and setting peak detection thresholds, and taking the observed data with depth higher than the thresholds as peak detection abnormal values and eliminating the peak detection abnormal values; calculating the vertical gradient of the observation section, setting a vertical gradient detection threshold value, regarding the observation data with depth higher than the threshold value as a vertical gradient detection abnormal value, combining the vertical structures of the temperature and salinity observation section corresponding to the marine environment gridding climatic state data at the same observation time and similar observation positions, and eliminating the vertical gradient detection abnormal value except the temperature and salinity jump layers; step 5, performing systematic depth deviation correction on the observed data, selecting a corresponding depth deviation correction parameter scheme according to the maximum measured depth of the disposable temperature and salt depth instrument, and eliminating systematic deviation of depth observation; Step 6, performing ocean physical law constraint correction on the observed data, calculating density difference between vertically upper and lower adjacent water layers based on temperature, salinity, depth data and observed position information obtained by observation of a disposable temperature and salt depth instrument, and taking the observed data with the upper layer density being greater than the lower layer density as an abnormal value and rejecting; And 7, carrying out statistic analysis constraint correction on the observed data, carrying out three-dimensional interpolation alignment on the temperature, salinity and depth data observed by the disposable thermal salt depth instrument and marine environment gridding climatic state data at the same observation month and similar observation positions, calculating correlation coefficients of the observation section of the disposable thermal salt depth instrument and the climatic state data section, taking the observed data with absolute value of the correlation coefficient lower than a threshold value as an abnormal value, removing the abnormal value, further calculating the observation temperature, salinity distance flat value and standard deviation of the disposable thermal salt depth instrument with adjacent time and positions at the same depth, taking the observed data with the deviation from the average state by three times of the standard deviation as the abnormal value, and removing the abnormal value.
  2. 2. The method for controlling the quality of marine environmental observation data based on a disposable thermal salt depth meter according to claim 1, wherein in the step 1, the marine satellite remote sensing data is sea surface temperature data (SST), sea surface salinity data (SSS), the marine analysis dataset with high resolution is one of the marine analysis datasets of china CORA2, HYCOM, europe GLORYS v1, the actual sea floor topography data is derived from a ship-borne multibeam depth meter, and the sea floor topography dataset with high resolution is the sea floor topography dataset of us GEBCO.
  3. 3. The method for controlling the quality of marine environmental observation data based on a disposable thermal salt depth meter according to claim 1, wherein in the step 2, the surface transient response correction depth threshold is taken as 4 meters, and the observation result shallower than 4 meters is removed.
  4. 4. The marine environmental observation data quality control method based on a disposable thermal salt depth meter according to claim 1, wherein in the step 3, the peak detection value is specifically calculated by: ; In the formula, Representing the position of the depth layer, Represents the first Temperature or salinity observations at the individual depth layers, Representing peak detection values calculated from temperature or salinity observations at three adjacent depth layers, the depth difference between adjacent depth layers was taken to be 1 meter.
  5. 5. The marine environmental observation data quality control method based on the disposable thermal salt depth meter according to claim 1, wherein in the step 4, the vertical gradient is specifically calculated by: ; In the formula, Representing the position of the depth layer, Represents the first Temperature or salinity observations at the individual depth layers, Represents the first The depth at the depth layer(s), Representing the vertical gradient calculated by the temperature or salinity observation results at two adjacent depth layers, taking the depth difference between the adjacent depth layers as 3 meters, and selecting the world ocean data set 2023 as the ocean environment gridding climatic state data.
  6. 6. The method for controlling the quality of marine environmental observation data based on a disposable thermal salt depth meter according to claim 1, wherein in the step 5, systematic deviation of depth observation is corrected by using the following equation: ; ; ; In the formula, Represents the observation time of the disposable warm salt depth meter after entering water, Represents the depth observation result of the disposable temperature and salt depth meter after the deviation correction, Representing the average value of the shallow temperature profile of 500 meters observed by the disposable warm salt depth meter, 、 、 And And correcting parameters for the depth deviation.
  7. 7. The method for controlling the quality of marine environmental observation data based on a disposable thermal salt depth meter according to claim 1, wherein in the step 6, the density is calculated by adopting the international thermodynamic sea water state equation TEOS-10 standard, specifically, the conservative temperature CT, the absolute salinity SA and the pressure P are calculated by converting the temperature, the salinity, the depth data and the observation position information obtained by observation of the disposable thermal salt depth meter, and the conversion calculation result is substituted into the thermodynamic sea water state equation based on the TEOS-10 standard, so as to calculate the sea water density.
  8. 8. The marine environmental observation data quality control method based on the disposable thermal salt depth meter according to claim 1, wherein in the step 7, marine environmental gridding climatic state data is selected from world marine data set 2023, correlation coefficient calculation standard is selected from Pearson correlation coefficients, and a calculation formula of the correlation coefficients is as follows: ; In the formula, And Respectively representing the observation section result of the disposable temperature and salt depth instrument and the section result of the climatic state data, Representing the number of vertical depth layers, the depth difference between adjacent depth layers was taken to be 1 meter.

Description

Ocean environment observation data quality control method based on disposable temperature and salt depth meter Technical Field The invention relates to the technical field of ocean observation, in particular to a marine environment observation data quality control method based on a disposable temperature and salt depth meter. Background The marine environment observation plays a vital role in marine scientific research and environment prediction guarantee, on one hand, the observation is an important means for finding marine physical phenomena, understanding marine changes and determining marine climate effects, and on the other hand, the observation plays a key role in marine simulation and prediction, and can provide important support for improving mode performance and prediction skills. The disposable temperature and salt depth instrument is advanced marine environment observation equipment, is mainly used on a mobile platform (such as a ship, an airplane and the like), can efficiently acquire environmental information such as sea water temperature, salinity, depth and the like, has the characteristics of being rapid in real time, low in cost, convenient to use and the like compared with the traditional fixed station observation mode (such as buoy, submerged buoy observation and the like), and is widely applied to the fields of marine environment observation investigation, numerical forecasting and the like, for example, the data acquired based on the disposable temperature and salt depth instrument accounts for 35% of the total amount of a world marine database (WOD 18), and is also one of important data sources for driving a United states naval business forecasting system. Although the disposable thermal salt depth meter has high application value, the observation result is influenced by factors such as the manufacturing process, the throwing process, the marine environment and the like of the meter, and certain deviation exists in the observation result, and the deviation further causes the deviation of cognizing natural change rules and non-negligible marine environment prediction error, so that the quality control of the data is required before the marine environment observation data of the disposable thermal salt depth meter is used. Disclosure of Invention The invention provides a marine environment observation data quality control method based on a disposable thermal salt depth instrument, which aims at correcting the seawater temperature, salinity and depth observation results based on the disposable thermal salt depth instrument, and is based on marine satellite remote sensing data, actual sea floor topography data, a high-resolution marine analysis data set, a sea floor topography data set and the like. In order to achieve the above purpose, the technical scheme of the invention is as follows: the marine environment observation data quality control method based on the disposable temperature and salt depth meter comprises the following steps: The method comprises the steps of 1, carrying out range correction on observed data, determining a theoretical observation range of temperature and salinity observed data based on marine satellite remote sensing data and a high-resolution marine analysis data set of the actual observation time and the position of the abandoned type thermal salt depth instrument, combining the temperature and salinity designed measurement range of the abandoned type thermal salt depth instrument, determining an effective temperature and salinity observed data range, determining a theoretical maximum value of depth observed data based on actual measured submarine topography data or a high-resolution submarine topography data set of the position of the abandoned type thermal salt depth instrument, combining the maximum measurement depth of the abandoned type thermal salt depth instrument, determining an effective depth observed data range, taking the observed result exceeding the temperature, salinity and depth observed data range as an abnormal value, and rejecting; Setting a threshold value of the depth of the transient response correction of the surface layer, regarding the observed data with the depth lower than the threshold value as an abnormal value of the transient response of the surface layer, and eliminating; Calculating peak detection values of the observed profile and setting peak detection thresholds, and taking the observed data with depth higher than the thresholds as peak detection abnormal values and eliminating the peak detection abnormal values; calculating the vertical gradient of the observation section, setting a vertical gradient detection threshold value, regarding the observation data with depth higher than the threshold value as a vertical gradient detection abnormal value, combining the vertical structures of the temperature and salinity observation section corresponding to the marine environment gridding climatic state data at the same observation