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MSU / amsu Microwave light temperature for ocean air tempera-ture: Discussion on applicability of climate change research

Ying Zhang Bei

Abstract


using NASA satellite applications and Research laboratory ( the Center for satellite Applications and Do , STAR ) provide msu/amsu satellite Microwave light temperature data V3.0 version , combines three sets of profiling data datasets , through different heights over the ocean ? , Applicability analysis for different areas and seasons , to explore msu/amsu Characteristics of temperature variation in the upper atmosphere of tropical marine area , and to reveal the response of the light temperature data to the ocean by synthetic analysis , To Explore msu/amsu Applicability and science of data in tropical marine areas sex . results show :(1 msu/amsu Light temperature data in ° ° E~70 °W , | °S ~15 ° N The range of tropical marine areas is more adaptable ; ( 2 Hot with ocean area troposphere upper and middle atmosphere both warming trend , Change rate is 0.045 K/(Ten a ) + 0.107 K /(Ten a ), warming mutation now Like a 1980 end of Year one 1990 age , stratospheric lower atmosphere cooling trend , The rate of change is -0.345 K /( a), Cooling Mutation appear in 1990 mid-term ;(3) in tropical Ocean area , High altitude atmospheric temperature trends have strong regional characteristics , relative to Middle East too Ping Yang , Indian Ocean - Increase in the western Pacific region , cool trend changes more significantly . The temperature increase in the troposphere decreases with height. . ping ( ) cooling trends at lower levels of the flow layer are not changed in the seasons , and the troposphere is the autumn , The winter warming trend is significantly greater than the spring , Summer , warming in winter especially to obvious ;( 4 msu/amsu Bright temperature data have a good response to tropical oceanic temperature anomalies , to make up for the scarcity of observational data in the ocean area case , better monitor ocean area .

Keywords


msu/amsu ; Tropical Ocean ; High altitude atmosphere ; Trend Change ; Applicability ; Data comparison

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References


Guo Yanjun, ding sinks. . near The homogenization and variation trend of sounding temperature series in Chi-na J]. Applied Meteorology , 2008, 6:646-654.

Shanpan-Mau . Some errors and deviations in Chinese historical sounding data J]. Meteorology , 1997, 5:563-572.

Shanpan - Guo Yanjun, . Study on atmospheric temperature changes in the upper atmosphere J]. Progress in climate change research , 2006, 2 (5): 228-232.

Guo Yanjun, Li Qingxiang, ding sinks . influence of human error in sounding data on the long-term trend of tem-perature change in China J]. Atmospheric Science , 2009, (6): 1309-1 318.

Zhao Tianpao, Fu Jingbin, Kozongjian , etc . Research status and progress of global atmospheric re-analysis da-ta J]. Earth Science Progress , , 3:241-254.

Bengtsson L, Hagemann S, HODGES K I. Can climate trends be calculated from reanalysis data? [j]. J Geophys Res Atmos, 109 (D11): 839-856.

Dong Peming , Huangjiangping , Liu Guiqing . fy-3a Direct assimilation of microwave detection data and light temperature simulations under rain and cloud conditions [J].Tropical Meteorology , 2014,30 (2): 302-310.

Dong Peming, Liu Jianwen, Liu Guiqing, etc. ATMS assimilation of satellite data and comparison of AMSUA/MHS [J]. Tropical Meteorology , 2014,30 (4): 623-632.

Jing Jinnan, Mong Weiguang, Zhang Yanxia, etc. Amsu-a temperature inversion and its analysis to the South Chi-na Sea tropical low-pressure warm heart [J]. Tropical Meteorology , 2013,29 (6): 889-898.

Wei , Xu Jianmin , Zhou . Typhoon Cuckoo for amsu satellite Microwave detection data analysis [J]. Tropical Meteorology , 2005,21 (4): 359-367.

gaffen D J. Temporal inhomogeneities in Radiosonde temperature records[j]. J Geophys Res Atmos, 1994, (D2): 3 667-3 676.

Lanzante J R, KLEIN S A, SEIDEL D J. Temporal homogenization of monthly radiosonde data part tempera-ture ODOLOGY[J]. J Clim, 2003 (2): 224-240.

liao Honey , Zhang Peng , Wushebao , etc . uses the MSU The sequence studies the progress of temperature changes in the upper atmosphere [J]. Weather , , 9:1 151-1 157.

SANTER B D. A search for human influences on the thermal structure of the atmosphere[j]. Nature 1996, 382 (6 586): 39-46.

Shidechian , Shang Jimin, Burbery , etc . near A preliminary analysis of the temperature variation of the upper altitude in China [J]. Plateau Weather , 2007,26 (1): 141-149.

Vinnikov K Y, Grody N C. Global warming trend of mean tropospheric temperature observed by satel-lites[j]. Science, 2003, 302 (5 643): 269-272.

Mears C A, Wentz F J. Construction of the Remote sensing Systems V3.2 atmospheric temperature records from the M SU and AMSU Microwave Sounders[j]. J Atmos Ocean Technol, 2009, 26 (6): 1 040-1 056.

FU Q, Johanson C m. satellite-derived vertical dependence of tropical tropospheric temperature trends [J]. Geophys Res Lett, 1 025-1 029.

FU Q, Johanson C m, WALLACE J m, et al enhanced mid-latitude tropospheric warming in satellite measure-ments[j]. Science, 2006, 312 (5 777): 1 179-1 179.

REYNOLDS R W, Rayner N A, SMITH T M, et al. An improved in situ and satellite SST for CLIMATE[J]. J Clim, 2002:1 609-1 625.

star , Xu Haiming. . Comparison of the seasonal average characteristics between the altitude temperature of three kinds of re-analysis data and the meteorological data in China [J]. Plateau Weather , 2013,32 (1): 97-109.

Shei . analysis of high altitude temperature characteristics of multiple data in global warming con-text [D]. Nanjing : Nanjing University of Information Engineering , .

Zhang Xiuyan , Huasheng , Guoshichang Global warming Global temperature spatio-temporal variability charac-teristics under background [J]. Tropical Meteorology , 2004,20 (5): 561-570.

THORNE P W, PARKER D E, Christy J R, et al uncertainties in climate trends:lessons from Upper-air tempera-ture RECORDS[J]. Bull Amer Meteor Soc, + + , : 1 437-1 442.

MELISSA F, SEIDEL D J, ANGELL J K, et al. radiosonde Atmospheric temperature products for assessing climate (RAT PAC): A new data set of Large-area anomaly time series[j]. J Geophys Res Atmos,, 3,(D22): 093-3 109.

Wang Rongying, Zhou Shunwu, ping Wu, etc. . near a Spatial-temporal evolution of high-altitude air temperature in north China [J]. Meteorology and Environment Science ,2010,33 (4): 31-37.

Shei , Chilli , He Jinhai .1980-2009 year East China temperature variation characteristics [J]. Progress in climate change research , 2013,9 (2): 102-109.

Wang , Ning . Preliminary analysis of temperature changes in China's upper altitudes [J]. Climate and environ-ment research , ???? , 4:780-790.




DOI: http://dx.doi.org/10.18686/jaoe.v3i1.1160

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