Comparison of the Arctic upper-air temperatures from radiosonde and radio occultation observations

CHANG Liang; GUO Lixin; FENG Guiping; WU Xuerui; GAO Guoping; ZHANG Yang; ZHANG Yu

doi:10.1007/s13131-018-1156-x

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Article Navigation > Acta Oceanologica Sinica > 2018 > 37(1): 30-39

CHANG Liang, GUO Lixin, FENG Guiping, WU Xuerui, GAO Guoping, ZHANG Yang, ZHANG Yu. Comparison of the Arctic upper-air temperatures from radiosonde and radio occultation observations[J]. Acta Oceanologica Sinica, 2018, 37(1): 30-39. doi: 10.1007/s13131-018-1156-x

Citation:

CHANG Liang, GUO Lixin, FENG Guiping, WU Xuerui, GAO Guoping, ZHANG Yang, ZHANG Yu. Comparison of the Arctic upper-air temperatures from radiosonde and radio occultation observations[J]. Acta Oceanologica Sinica, 2018, 37(1): 30-39. doi: 10.1007/s13131-018-1156-x

Citation:

CHANG Liang, GUO Lixin, FENG Guiping, WU Xuerui, GAO Guoping, ZHANG Yang, ZHANG Yu. Comparison of the Arctic upper-air temperatures from radiosonde and radio occultation observations[J]. Acta Oceanologica Sinica, 2018, 37(1): 30-39. doi: 10.1007/s13131-018-1156-x

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Comparison of the Arctic upper-air temperatures from radiosonde and radio occultation observations

doi: 10.1007/s13131-018-1156-x

1.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;Collaborative Innovation Center for Distant-water Fisheries, Shanghai 201306, China
2.
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China;Key Laboratory of Planetary Sciences, Chinese Academy of Sciences, Shanghai 200030, China
3.
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China

Received Date: 2016-11-15

Abstract

Abstract

The air temperature is one of the most important parameters used for monitoring the Arctic climate change. The constellation observing system for meteorology, ionosphere, and climate and Formosa Satellite Mission 3 (COSMIC/FORMOSAT-3) radio occultation (RO) “wet” temperature product (i.e., “wetPrf”) is used to analyze the Arctic air temperature profiles at 925-200 hPa in 2007-2012. The “wet” temperatures are further compared with radiosonde (RS) observations. The results from the spatially and temporally synchronized RS and COSMIC observations show that their temperatures agree well with each other, especially at 400 hPa. Comparisons of seasonal temperatures and anomalies from the COSMIC and homogenized RS observations suggest that the limited number of COSMIC observations during the spatial matchup may be insufficient to describe the small-scale spatial structure of temperature variations. Furthermore, comparisons of the seasonal temperature anomalies from the RS and 5°×5° gridded COSMIC observations at 400 hPa during the sea ice minimum (SIM) of 2007 and 2012 are also made. The results reveal that similar Arctic temperature variation patterns can be obtained from both RS and COSMIC observations over the land area, while extra information can be further provided from the densely distributed COSMIC observations. Therefore, despite COSMIC observations being unsuitable to describe the Arctic temperatures in the lowest level, they provide a complementary data source to study the Arctic upper-air temperature variations and related climate change.
- Arctic temperature,
- radio occultation,
- radiosonde

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References(31)

References

Anthes R A. 2011. Exploring earth's atmosphere with radio occultation: contributions to weather, climate and space weather. Atmospheric Measurement Techniques, 4(6): 1077-1103

Ballantyne A P, Axford Y, Miller G H, et al. 2013. The amplification of arctic terrestrial surface temperatures by reduced sea-ice extent during the Pliocene. Palaeogeography, Palaeoclimatology, Palaeoecology, 386: 59-67

Bohlinger P, Sinnhuber B M, Ruhnke R, et al. 2014. Radiative and dynamical contributions to past and future arctic stratospheric temperature trends. Atmospheric Chemistry and Physics, 14(3): 1679-1688

Chan M A, Comiso J C. 2013. Arctic cloud characteristics as derived from MODIS, CALIPSO, and CloudSat. Journal of Climate, 26(10): 3285-3306

Chang Liang, Gao Guoping, Jin Shuanggen, et al. 2015. Calibration and evaluation of precipitable water vapor from MODIS infrared observations at night. IEEE Transactions on Geoscience and Remote Sensing, 53(5): 2612-2620

Das U, Pan C J. 2014. Validation of FORMOSAT-3/COSMIC level 2 "atmPrf" global temperature data in the stratosphere. Atmospheric Measurement Techniques, 7(3): 731-742

Devasthale A, Sedlar J, Koenigk T, et al. 2013. The thermodynamic state of the arctic atmosphere observed by AIRS: comparisons during the record minimum sea ice extents of 2007 and 2012. Atmospheric Chemistry and Physics, 13(15): 7441-7450

Devasthale A, Willén U, Karlsson K G, et al. 2010. Quantifying the clear-sky temperature inversion frequency and strength over the Arctic Ocean during summer and winter seasons from AIRS profiles. Atmospheric Chemistry and Physics, 10(12): 5565-5572

Durre I, Vose R S, Wuertz D B. 2006. Overview of the integrated global radiosonde archive. Journal of Climate, 19(1): 53-68

Haimberger L. 2007. Homogenization of radiosonde temperature time series using innovation statistics. Journal of Climate, 20(7): 1377-1403

Haimberger L, Tavolato C, Sperka S. 2012. Homogenization of the global radiosonde temperature data set through combined comparison with reanalysis background series and neighboring stations. Journal of Climate, 25(23): 8108-8131

Hajj G A, Ao C O, Iijima B A, et al. 2004. CHAMP and SAC-C atmospheric occultation results and intercomparisons. Journal of Geophysical Research: Atmospheres, 109(D6): D06109

Kay J E, Holland M M, Jahn A. 2011. Inter-annual to multi-decadal arctic sea ice extent trends in a warming world. Geophysical Research Letters, 38(15): L15708

Kim B M, Son S W, Min S K, et al. 2014. Weakening of the stratospheric polar vortex by arctic sea-ice loss. Nature Communications, 5: 4646

Kuo Y H, Sokolovskiy S V, Anthes R A, et al. 2000. Assimilation of GPS radio occultation data for numerical weather prediction. Terrestrial, Atmospheric and Oceanic Sciences, 11(1): 157-186

Kuo Y H, Wee T K, Sokolovskiy S, et al. 2004. Inversion and error estimation of GPS radio occultation data. Journal of the Meteorological Society of Japan, 82(1B): 507-531

Kursinski E R, Hajj G A, Schofield J T, et al. 1997. Observing earth's atmosphere with radio occultation measurements using the global positioning system. Journal of Geophysical Research: Atmospheres, 102(D19): 23429-23465

Liu Yinghui, Key J R. 2003. Detection and analysis of clear-sky, low-level atmospheric temperature inversions with MODIS. Journal of Atmospheric and Oceanic Technology, 20(12): 1727-1737

Liu Yinghui, Key J R, Ackerman S A, et al. 2012. Arctic cloud macrophysical characteristics from CloudSat and CALIPSO. Remote Sensing of Environment, 124: 159-173

Liu Yinghui, Key J R, Schweiger A, et al. 2006. Characteristics of satellite-derived clear-sky atmospheric temperature inversion strength in the arctic, 1980-96. Journal of Climate, 19(19): 4902-4913

Melles M, Brigham-Grette J, Minyuk P S, et al. 2012. 2. 8 million years of arctic climate change from Lake El'gygytgyn, NE Russia. Science, 337(6092): 315-320

Moradi I, Soden B, Ferraro R, et al. 2013. Assessing the quality of humidity measurements from global operational radiosonde sensors. Journal of Geophysical Research: Atmospheres, 118(14): 8040-8053

Schreiner W, Rocken C, Sokolovskiy S, et al. 2007. Estimates of the precision of GPS radio occultations from the COSMIC/FORMOSAT-3 mission. Geophysical Research Letters, 34(4): L04808

Stroeve J C, Markus T, Boisvert L, et al. 2014. Changes in arctic melt season and implications for sea ice loss. Geophysical Research Letters, 41(4): 1216-1225

Sun Bimin, Reale A, Seidel D J, et al. 2010. Comparing radiosonde and COSMIC atmospheric profile data to quantify differences among radiosonde types and the effects of imperfect collocation on comparison statistics. Journal of Geophysical Research: Atmospheres, 115(D23): D23104

Sun Bomin, Reale A, Schroeder S, et al. 2013. Toward improved corrections for radiation-induced biases in radiosonde temperature observations. Journal of Geophysical Research: Atmospheres, 118(10): 4231-4243

Titchner H A, Thorne P W, McCarthy M P, et al. 2009. Critically reassessing tropospheric temperature trends from radiosondes using realistic validation experiments. Journal of Climate, 22(3): 465-485

Wang B R, Liu X Y, Wang J K. 2013. Assessment of COSMIC radio occultation retrieval product using global radiosonde data. Atmospheric Measurement Techniques, 6(4): 1073-1083

Wickert J, Reigber C, Beyerle G, et al. 2001. Atmosphere sounding by GPS radio occultation: first results from CHAMP. Geophysical Research Letters, 28(17): 3263-3266

Xie F, Wu D L, Ao C O, et al. 2010. Super-refraction effects on GPS radio occultation refractivity in marine boundary layers. Geophysical Research Letters, 37(11): L11805

Yunck T P, Liu Chaohan, Ware R. 1999. A history of GPS sounding. Terrestrial, Atmospheric and Oceanic Science, 11(1): 1-20

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