amsu-a only atmospheric temperature climate data records...

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AMSU-A Only Atmospheric Temperature Climate Data Records from Lower Troposphere to the Top of Stratosphere Wenhui Wang 1 and Cheng-Zhi Zou 2 1 I. M. Systems Group, Rockville, MD 20852, USA [email protected] 2 NOAA/NESDIS/Office of Research and Applications, NOAA Science Center, 5200 Auth Road, Camp Springs, MD 20746, USA [email protected] Introduction The Advanced Microwave Sounding Unit A (AMSU-A, 1998-present) surpasses the Microwave Sounding Unit (MSU, 1978-2006) capacities in atmospheric temperature observation. It provides valuable satellite measurements for higher vertical resolution and long-term climate change research and trend monitoring. This study presented methodologies for generating 11 channels of AMSU-A only atmospheric temperature thematic climate data records (TCDRs) from lower troposphere to the top of stratosphere. STAR Recalibrated/Reprocessed AMSU-A Level 1C Radiances OPR: b=0.095 sd=0.028 trd=0.072 OPR: b=0.135 sd=0.042 trd=0.215 OPR: b=0.235 sd=0.067 trd=0.258 OPR: b=0.145 sd=0.059 trd=0.209 CH4 (Ocean) IMICM: b=0.048 sd=0.019 trd=0.064 CH5 (Ocean) IMICM: b=0.087 sd=0.023 trd=0.098 N16-N15 N17-N16 N18-N15 MTA-N18 AUQ-N15 CH8 (Global) IMICM: b=0.067 sd=0.029 trd=0.091 N15-N16 N16-N18 N17-N16 MTA-N18 AUQ-N18 CH6 (Global) IMICM: b=0.235 sd=0.033 trd=0.225 2002 2004 2006 2008 2010 2012 Tb Difference(K) -0.5 +0.5 -0.5 +0.5 -0.5 +0.5 -0.5 +0.5 236 217 252 257 (a) OPR: b=0.645 sd=0.146 trd=0.585 OPR: b=0.244 sd=0.125 trd=0.502 OPR: b=0.23 sd=0.1 trd=0.335 OPR: b=0.332 sd=0.13 trd=0.627 CH4 (Land) IMICM: b=0.592 sd=0.15 trd=0.584 CH5 (Land) IMICM: b=0.274 sd=0.097 trd=0.361 N16-N15 N17-N16 N18-N15 MTA-N18 AUQ-N15 CH13 (Global) IMICM: b=0.143 sd=0.08 trd=0.191 N16-N18 N17-N16 MTA-N18 AUQ-N18 AUQ-N16 CH14 (Global) IMICM: b=0.194 sd=0.093 trd=0.322 2002 2004 2006 2008 2010 2012 Tb Difference(K) -0.5 +0.5 -0.5 +0.5 -0.5 +0.5 -0.5 +0.5 251 240 251 261 (b) Major Trend Features in the AMSU-A TCDRs (1998-2011) Based an Integrated Microwave Inter-Calibration Approach (IMICA) New constant offsets and nonlinearity coefficients were estimated using simultaneous nadir overpass (SNO) matchup regressions and global mean temperatures analysis to minimize sun-heating-induced instrument temperature variability in radiances and scene temperature dependency in biases Time-dependent bias drifts for NOAA 16 and MetOp-A were corrected using global mean temperature time series analysis Time-dependent nonlinearity drift in NOAA-15 channel 6 was corrected using global mean temperature regression; channel frequency shift was determined from the radiative transfer model simulation experiments. Methodologies Pre-merging Adjustments to Level 1c Radiances: Sensor Incidence Angle Effect Correction NOAA-15 Channel 6 Frequency Shift Correction Global mean inter-satellite differences time series for the IMICA recalibrated (non-gray lines) and the NOAA operational calibrated (OPR, gray lines in the background) level 1c radiances Flowchart of the procedure for generating AMSU-A only TCDRs Off-nadir bias statistics for representative channels on NOAA-15 AMSU-A. Each point summarizes off-nadir bias time series for one scan, with y values representing mean bias. The size of each point is proportional to the standard deviation of the off-nadir bias time series for this scan. Based on pixel level radiative transfer simulations, using NOAA/Joint Center for Satellite Data Assimilation Community Radiative Transfer Model (CRTM), and MERRA Reanalysis hourly surface skin temperatures & 3-hourly atmospheric profiles Mean off-nadir biases less than 1 K for all cases Also based on pixel level radiative transfer simulations Same input parameters as sensor incidence angle effect correction Global map of the multi-year averaged adjustments applied to NOAA-15 AMSU-A channel 6 by the frequency shift correction. Diurnal Drift Effect Correction Multi-year averaged inter-satellite difference spatial patterns for before and after the correction of the diurnal drift effect. AMSU-A local equator crossing times Global mean inter-satellite diff. time series for after the corrections of the sensor incidence angle effect and the diurnal drift effect. Time series for after the correction of the sensor incidence angle effect but before the correction of the diurnal drift effect were showed in the background (gray lines). AMSU-A atmospheric temperature channel (414) weighting functions at near nadir (1.67°, solid lines) and limb scan positions (48.33°, dash lines). References Zou, C.-Z., and W. Wang, 2011: Intersatellite calibration of AMSU-A observations for weather and climate applications. J. Geophys. Res., 116, D23113. Zou, C.-Z., and W. Wang, 2009: Diurnal drift correction in the NESDIS/STAR MSU/AMSU atmospheric temperature climate data record SPIE, San Diego, CA. CH 4-5 : using the RSS five-year averaged monthly diurnal anomaly climatology, with scaling factors of 0.917 & 1.875 CH 13-14: using CRTM simulated multi-year averaged diurnal/semidiurnal anomaly climatologies AMSU-A only TCDR global mean layer temperature anomaly time series and trends Spatial trend patterns derived from AMSU-A only TCDRs (1998-2011 for channels 4-13, 2001-2011 for channel 14). 0.9 1 1.1 1.2 1998 2000 2002 2004 2006 2008 2010 2012 NOAA-15 CH 6 Freq. Corr (K) Time Global mean time series for the NOAA-15 AMSU-A channel 6 frequency shift correction term http://www.star.nesdis.noaa.gov/smcd/emb/mscat/index.php Warming in troposphere -- robust warming in lower troposphere (CH4) Robust cooling in stratosphere -- systematic increase of stratospheric cooling trends as the center of channel weighting functions move higher Lower and mid-troposphere (CH4-5) warming over tropics, but cooling over the US & China O -- satellite observations; i -- AMSU-A channel (i = 4-14) f -- channel central frequency (f 0 represents pre-launch specified channel central frequency) t -- satellite observation time (t 0 represents local solar noon time); -- sensor incidence angle ( 0 represents nadir); Adjusted temperatures at nadir, local solar noon time, and pre-launch specified channel freq. IMICA recalibrated temperature before the adjustments correction term for the sensor incidence angle effect correction term for the NOAA-15 channel 6 frequency shift effect correction term for the diurnal drift effect

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Page 1: AMSU-A Only Atmospheric Temperature Climate Data Records …satelliteconferences.noaa.gov/2013/docs/Tuesday Poster... · 2013. 4. 17. · AMSU-A Only Atmospheric Temperature Climate

AMSU-A Only Atmospheric Temperature Climate Data Records from Lower Troposphere to the Top of Stratosphere

Wenhui Wang1 and Cheng-Zhi Zou2

1 I. M. Systems Group, Rockville, MD 20852, USA [email protected] 2 NOAA/NESDIS/Office of Research and Applications, NOAA Science Center, 5200 Auth Road, Camp Springs, MD 20746, USA [email protected]

Introduction

The Advanced Microwave Sounding Unit A (AMSU-A, 1998-present) surpasses the Microwave Sounding Unit (MSU, 1978-2006) capacities in atmospheric temperature observation. It provides valuable satellite measurements for higher vertical resolution and long-term climate change research and trend monitoring.

This study presented methodologies for generating 11 channels of AMSU-A only atmospheric temperature thematic climate data records (TCDRs) from lower troposphere to the top of stratosphere.

STAR Recalibrated/Reprocessed AMSU-A Level 1C Radiances

OPR: b=0.095 sd=0.028 trd=0.072

OPR: b=0.135 sd=0.042 trd=0.215

OPR: b=0.235 sd=0.067 trd=0.258

OPR: b=0.145 sd=0.059 trd=0.209

CH4 (Ocean)IMICM: b=0.048 sd=0.019 trd=0.064

CH5 (Ocean)IMICM: b=0.087 sd=0.023 trd=0.098

N16-N15 N17-N16 N18-N15 MTA-N18 AUQ-N15

CH8 (Global)IMICM: b=0.067 sd=0.029 trd=0.091

N15-N16 N16-N18 N17-N16 MTA-N18 AUQ-N18

CH6 (Global)IMICM: b=0.235 sd=0.033 trd=0.225

2002 2004 2006 2008 2010 2012

Tb D

iffe

rence(K

)

-0.5

+0.5

-0.5

+0.5

-0.5

+0.5

-0.5

+0.5

236

217

252

257

(a)

OPR: b=0.645 sd=0.146 trd=0.585

OPR: b=0.244 sd=0.125 trd=0.502

OPR: b=0.23 sd=0.1 trd=0.335

OPR: b=0.332 sd=0.13 trd=0.627

CH4 (Land) IMICM: b=0.592 sd=0.15 trd=0.584

CH5 (Land)IMICM: b=0.274 sd=0.097 trd=0.361

N16-N15 N17-N16 N18-N15 MTA-N18 AUQ-N15

CH13 (Global)IMICM: b=0.143 sd=0.08 trd=0.191

N16-N18 N17-N16 MTA-N18 AUQ-N18 AUQ-N16

CH14 (Global)IMICM: b=0.194 sd=0.093 trd=0.322

2002 2004 2006 2008 2010 2012

Tb D

iffe

rence(K

)

-0.5

+0.5

-0.5

+0.5

-0.5

+0.5

-0.5

+0.5

251

240

251

261

(b)

Major Trend Features in the AMSU-A TCDRs (1998-2011)

Based an Integrated Microwave Inter-Calibration Approach (IMICA) • New constant offsets and nonlinearity coefficients were estimated using simultaneous nadir overpass (SNO) matchup regressions

and global mean temperatures analysis to minimize sun-heating-induced instrument temperature variability in radiances and scene temperature dependency in biases

• Time-dependent bias drifts for NOAA 16 and MetOp-A were corrected using global mean temperature time series analysis • Time-dependent nonlinearity drift in NOAA-15 channel 6 was corrected using global mean temperature regression; channel

frequency shift was determined from the radiative transfer model simulation experiments.

Methodologies

Pre-merging Adjustments to Level 1c Radiances:

Sensor Incidence Angle Effect Correction NOAA-15 Channel 6 Frequency Shift Correction

Global mean inter-satellite differences time series for the IMICA recalibrated (non-gray lines)

and the NOAA operational calibrated (OPR, gray lines in the background) level 1c radiances

Flowchart of the procedure for generating AMSU-A only TCDRs

Off-nadir bias statistics for representative channels on NOAA-15 AMSU-A. Each point summarizes off-nadir bias time series for one scan, with y values representing mean bias. The size of each point is proportional to the standard deviation of the off-nadir bias time series for this scan.

•Based on pixel level radiative transfer simulations, using NOAA/Joint Center for Satellite Data Assimilation Community Radiative Transfer Model (CRTM), and MERRA Reanalysis hourly surface skin temperatures & 3-hourly atmospheric profiles

•Mean off-nadir biases less than 1 K for all cases

•Also based on pixel level radiative transfer simulations Same input parameters as sensor incidence angle effect correction

Global map of the multi-year averaged adjustments applied to NOAA-15 AMSU-A channel 6 by the frequency shift correction.

Diurnal Drift Effect Correction

Multi-year averaged inter-satellite difference spatial patterns for before and after the correction of the diurnal drift effect.

AMSU-A local equator crossing times

Global mean inter-satellite diff. time series for after the corrections of the sensor incidence angle effect and the diurnal drift effect. Time series for after the correction of the sensor incidence angle effect but before the correction of the diurnal drift effect were showed in the background (gray lines).

AMSU-A atmospheric temperature channel (4–14) weighting functions at near nadir (1.67°, solid lines) and limb scan positions (48.33°, dash lines).

References

Zou, C.-Z., and W. Wang, 2011: Intersatellite calibration of AMSU-A observations for weather and climate applications. J. Geophys. Res., 116, D23113. Zou, C.-Z., and W. Wang, 2009: Diurnal drift correction in the NESDIS/STAR MSU/AMSU atmospheric temperature climate data record SPIE, San Diego, CA.

• CH 4-5 : using the RSS five-year averaged monthly diurnal anomaly climatology, with scaling factors of 0.917 & 1.875 • CH 13-14: using CRTM simulated multi-year averaged diurnal/semidiurnal anomaly climatologies

AMSU-A only TCDR global mean layer temperature anomaly time series and trends Spatial trend patterns derived from AMSU-A only TCDRs (1998-2011 for channels 4-13, 2001-2011 for channel 14).

0.9

1

1.1

1.2

1998 2000 2002 2004 2006 2008 2010 2012

NO

AA

-15

CH

6 F

req

. Co

rr (

K)

Time

Global mean time series for the NOAA-15 AMSU-A channel 6 frequency shift correction term

http://www.star.nesdis.noaa.gov/smcd/emb/mscat/index.php

• Warming in troposphere

-- robust warming in lower troposphere (CH4)

• Robust cooling in stratosphere

-- systematic increase of stratospheric cooling trends as the center of channel weighting functions move higher

• Lower and mid-troposphere (CH4-5) warming over tropics, but cooling over the US & China

O -- satellite observations; i -- AMSU-A channel (i = 4-14) f -- channel central frequency (f0 represents pre-launch specified channel central frequency) t -- satellite observation time (t0 represents local solar noon time); 𝜃 -- sensor incidence angle (𝜃0 represents nadir);

Adjusted temperatures at nadir, local solar noon time, and pre-launch specified channel freq.

IMICA recalibrated temperature before the adjustments

correction term for the sensor incidence angle effect

correction term for the NOAA-15 channel 6 frequency shift effect

correction term for the diurnal drift effect