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Bias characterization of ATMS low-level channels under clear-sky and cloudy conditions |
Qi LI1, Xiaolei ZOU2() |
1. Joint Center of Data Assimilation for Research and Application, College of Atmospheric Science, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China 2. Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20740-3823, USA |
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Abstract The Advanced Technology Microwave Sounder (ATMS) onboard the Suomi National Polar-Orbiting Partnership satellite is a cross-track scanning instrument containing 22 sounding channels in total. In this study, the bias characteristics of channels 1–6, which could have significant cloud contamination in heavy precipitation, are first analyzed based on the differences between ATMS observations (O) and model simulations (B) under clear-sky conditions over oceans. Latitudinal dependencies of the biases of window channels 1–3 are greater than those of channels 4–6. Biases of all nadir-only observations examined in different latitudinal bands [μ1(ϕ)] are positive and no more than 7.0 K. Biases at higher latitudes are larger. Channels 1–5 have a generally symmetric scan bias pattern [μ2(α)]. The global distributions of brightness temperature differences after subtracting the biases, i.e., O-B-m1(ϕ)-μ2(α), for channels 3–6 spatially match the liquid water path distributions. Excluding ice-affected observations, channel 3–6 O-B differences systematically increase as the liquid water path increases under cloudy conditions. Further investigation is needed to apply these findings for ATMS data assimilation under both clear-sky and cloudy conditions.
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Keywords
ATMS
O-B
clear-sky bias characteristics
impact of clouds on biases
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Corresponding Author(s):
Xiaolei ZOU
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Just Accepted Date: 20 March 2019
Online First Date: 17 April 2019
Issue Date: 16 May 2019
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1 |
TAuligné, A P McNally, D P Dee (2007). Adaptive bias correction for satellite data in a numerical weather prediction system. Q J R Meteorol Soc, 133(624): 631–642
https://doi.org/10.1002/qj.56
|
2 |
NBormann, A Fouilloux, WBell (2013). Evaluation and assimilation of ATMS data in the ECMWF system. J Geophys Res Atmos, 118(23): 12970–129890.
|
3 |
D PDee (2005). Bias and data assimilation. Q J R Meteorol Soc, 131(613): 3323–3343
https://doi.org/10.1256/qj.05.137
|
4 |
ADoherty, N Atkinson, WBell, ASmith (2015). An assessment of data from the advanced technology microwave sounder at the Met Office. Adv Meteorol, 2015: 956920
|
5 |
YHan, F Weng, QLiu, Pvan Delst (2007). A fast radiative transfer model for SSMIS upper atmosphere sounding channels. J Geophys Res Atmos, 112(D11): D11121
https://doi.org/10.1029/2006JD008208
|
6 |
FKarbou, É Gérard, F Rabier (2006). Microwave land emissivity and skin temperature for AMSU-A and-B assimilation over land. Q J R Meteorol Soc, 132(620): 2333–2355
https://doi.org/10.1256/qj.05.216
|
7 |
FKarbou, É Gérard, F Rabier (2010a). Global 4DVAR assimilation and forecast experiments using AMSU observations over land. Part I: impacts of various land surface emissivity parameterizations. Weather Forecast, 25(1): 5–19
https://doi.org/10.1175/2009WAF2222243.1
|
8 |
FKarbou, F Rabier, JLafore, JRedelsperger, OBock (2010b). Global 4DVAR assimilation and forecast experiments using AMSU observations over land. Part II: impacts of assimilating surface-sensitive channels on the African monsoon during AMMA. Weather Forecast, 25(1): 20–36
https://doi.org/10.1175/2009WAF2222244.1
|
9 |
XTian, X Zou (2016). ATMS- and AMSU-A-derived hurricane warm core structures using a modified retrieval algorithm. J Geophys Res Atmos, 121(21): 12,630–12,646
https://doi.org/10.1002/2016JD025042
|
10 |
XWang, X Zou (2012). Quality assessments of Chinese FengYun-3B Microwave Temperature Sounder (MWTS) measurements. IEEE Transactions on Geoscience and Remote Sensing, 50(12): 4875–4884
https://doi.org/10.1109/TGRS.2012.2196438
|
11 |
XWang, X Zou, FWeng, RYou (2012). An assessment of the FY-3A microwave temperature sounder using the NCEP numerical weather prediction model. IEEE Transactions on Geoscience and Remote Sensing, 50(12): 4860–4874
https://doi.org/10.1109/TGRS.2012.2200687
|
12 |
FWeng (2007). Advances in radiative transfer modeling in support of satellite data assimilation. J Atmos Sci, 64(11): 3799–3807
https://doi.org/10.1175/2007JAS2112.1
|
13 |
FWeng, X Zou, XWang, SYang, M D Goldberg (2012). Introduction to Suomi national polar-orbiting partnership advanced technology microwave sounder for numerical weather prediction and tropical cyclone applications. J Geophys Res Atmos, 117: D19112
https://doi.org/10.1029/2012JD018144
|
14 |
XXu, X Zou (2018). A modified ice water path retrieval algorithm applicable to the ATMS. Tellus A: Dynamic Meteorology and Oceanography, 71: 1–14
https://doi.org/10.1080/16000870.2018.1550323
|
15 |
LZhao, F Weng (2002). Retrieval of ice cloud parameters using the Advanced Microwave Sounding Unit. J Appl Meteorol, 41(4): 384–395
https://doi.org/10.1175/1520-0450(2002)041<0384:ROICPU>2.0.CO;2
|
16 |
XZou, L Lin, FWeng (2014). Absolute calibration of ATMS upper level temperature sounding channels using GPS RO observations. IEEE Transactions on Geoscience and Remote Sensing, 52(2): 1397–1406
https://doi.org/10.1109/TGRS.2013.2250981
|
17 |
XZou, Z Qin, FWeng (2017). Impacts from assimilation of one data stream of AMSU-A and MHS radiances on quantitative precipitation forecasts. Q J R Meteorol Soc, 143(703): 731–743
https://doi.org/10.1002/qj.2960
|
18 |
XZou, F Weng, BZhang, LLin, Z Qin, VTallapragada (2013). Impacts of assimilation of ATMS data in HWRF on track and intensity forecasts of 2012 four landfall hurricanes. J Geophys Res Atmos, 118(20): 11558–11576
https://doi.org/10.1002/2013JD020405
|
19 |
XZou, X Zhuge, FWeng (2016). Characterization of bias of Advanced Himawari Imager infrared observations from NWP background simulations using CRTM and RTTOV. J Atmos Ocean Technol, 33(12): 2553–2567
https://doi.org/10.1175/JTECH-D-16-0105.1
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