SIMBA Buoy Automatic Diagnostic Algorithm

Sea ice is an important indicator in global climate change.Sea ice thickness is one of the most difficult parameter to estimate.It will cause errors utilizing satellite remote sensing data,because of the sea ice thickness and concentration.The sea ice mass balance buoy(IMB)could be archive the measured sea ice thickness,and be the measured data for satellite remote sensing estimation.For long-term sea ice data collection,researchers applied buoy into the observation of sea ice thickness.IMB is an instrument used to detect snow and ice thickness at one spot on a drafting ice floe.The measurements are unmanned and last continuously until IMB is out of order.The high-resolution Snow and Ice Mass Balance Array known as SIMBA units was developed by the Scottish Association for Marine Science(SAMS)Research Services Ltd(SRSL)based at the Scottish Marine Institute.SIMBA is a new type of IMB that has been used for snow and ice research.SIMBA have been deployed in the ice covered seas over the world.So far the SIMBA data analyses are largely the manual processes.This dissertation construct SIMBA retrieval algorithms for sea ice interfaces,utilizing sea ice heat conduction continuity with existing SIMBA data,and developed time serious algorithm and actual time algorithm for estimating sea ice thickness and snow thickness.During the development of algorithms,we considered the situation of sea ice covered with snow and the sea ice without snow cover,and we gave the results comparisons and analysis with the manual processing results and measured data.This paper showed our algorithm could give a pretty good inversion calculation to sea ice thickness calculation.This achievement provides an important correction method for satellite altimeter sea ice thickness inversion calculation,and have an innovation and practical significance too.This paper mainly includes several points as below:1.Introduce device the SIMBA buoy:device main structure,development method,device parameters.Considering the continuation of heat flux in sea ice,we build two vertical one dimension sea ice ideal model(sea ice ideal model covered with snow and sea ice ideal model covered without snow).We couple these two models with SIMBA buoy Thermodynamic chain,and then we got two key parameters of temperature difference(0.04375? and 0.01875?).2.Introduce those two algorithms and their program.Display the results of the up surface and down surface that two algorithms calculated,and also the smooth results.We also gave the comparison of the difference between the time series algorithm and actual time algorithm.3.Utilized the SIMBA buoy heating sensors data,we gave the two algorithm results verification.We also gave several boundary hypothesis verification in that two ideal model:the verification of air temperature hypothesis above the sea ice up surface,the verification of seawater temperature hypothesis below the sea ice down surface,the verification of vertical temperature gradient hypothesis below the sea ice up surface,the verification of vertical temperature gradient hypothesis below the sea ice up surface that algorithm calculated,the verification of vertical temperature gradient hypothesis above the sea ice down surface that algorithm calculated,and also the two temperature difference parameter verification.4.Finally,utilizing the buoy FMI2012 data we displayed the different results of up and down surface that calculated by HIGHTSI modeling,our time series algorithm,and the manual work respectively.On other hand,we also gave the comparison between our algorithm result and measured data with the buoy NMEFC01 data.The main innovation point in this paper:utilized the continuation of heat flux of sea ice,we built automatic SIMBA data retrieval algorithm for the sea ice up and down surface detection.With that two temperature difference parameter(0.1875?and 0.4375 ?)between every two adjacent sensors of SIMBA buoy,we determine the medium between that two adjacent sensors.Main conclusions:in the region of polar sea,we could determine the sea ice different interface of SIMBA buoy with our automatic algorithm;If the two adjacent sensors temperature difference is less than or equal to 0.1875? we considered the medium between that two sensors is sea ice;If the two adjacent sensors temperature difference is greater than or equal to 0.4375?,we considered the medium between that two sensors is snow.