A comparison of NOAA/AVHRR derived cloud amount with MODIS and surface observation
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1 A comparison of NOAA/AVHRR derived cloud amount with MODIS and surface observation LIU Jian YANG Xiaofeng and CUI Peng National Satellite Meteorological Center, CMA, CHINA
2 outline 1. Introduction 2. Data & Methods 3. Validation 4. Conclusion
3 1. Introduction 1. ISCCP data MOD06 cloud product now / NOAA / AVHRR data 1989-now
4 2. Data & Methods Data: NOAA/AVHRR N E Method Cloud detection Cloud Amount/ cloud fraction
5 2. Data & Methods Cloud detection " Dynamic threshold " Background clear fields " DEM
6 2. Data & Methods cloud amount A c is pixel s cloud amount. BT is pixel s brightness temperature at10.3µm channel. BT cld is brightness temperature of full cloud cover pixel at 10.3µm channel. BT clr is brightness temperature of full clear pixel at 10.3µm channel.
7 2. Data & Methods Cloud Fraction " Based on a pixel level cloud detection result " cloud fraction CF=N cloud /N total N cloud : cloudy pixel number N total : total pixel number
8 3. Validation_cloud detection cloud detection Surface - clear Surface- cloudy Satellite - clear A B Satellite- cloudy C D " ACR(the accuracy rate of cloud detection) ACR=(A+D)/(A+B+C+D). " ERR (Error rate) ERR= (B+C) /( A+B+C+D).
9 3. Validation_cloud detection Data Accuracy Rate Error Rate MODIS 74.34% 25.66% AVHRR 77.12% 22.88% The time series change of the accuracy (left) and error (right) of cloud detection for AVHRR and MODIS
10 3. Validation_ cloud amount AVHRR MODIS
11 3. Validation_ cloud amount the relationship between AVHRR derived cloud amount and surface observation in different seasons.a spring, b summer c autumn d winter
12 3. Validation_ cloud amount the relationship between MODIS cloud amount and surface observation in different seasons.a spring, b summer c autumn d winter
13 3. Validation_ cloud amount the time coefficient of the first EOF eigenvector for station, AVHRR and MODIS s total cloud amount
14 3. Validation_ cloud amount the diagram of the first EOF eigenvector for NOAA/AVHRR, MODIS and station s total cloud amount
15 3. Validation_ cloud amount the time coefficient of the first EOF eigenvector for station,avhrr and MODIS s total cloud amount in winter
16 3. Validation_ cloud amount the diagram of the first EOF eigenvector for NOAA/AVHRR, MODIS and station s total cloud amount in winter time
17 3. Validation_ cloud amount AVHRR MODIS the time evolution of SVD time coefficient
18 3. Validation_ cloud amount The correlation coefficients SVD heterogeneous correlation map of the first (up) and the second (down) mode, left vector field (AVHRR),right vector field (station observation)
19 3. Validation_ cloud amount The correlation coefficients SVD heterogeneous correlation map of the first (up) and the second (down) left vector field (MODIS),right vector field (station observation)
20 4. Conclusion The value of AVHRR derived cloud amount is lower than surface observations. Compared with MODIS 74.34% cloud detection accuracy rate, processed AVHRR data get 77.12% cloud detection accuracy rate. update cloud detection algorithm to distinguish cloud and snow and get a good results.
21 Thanks for your Attention
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