M. Goldberg NOAA/NESDIS Z. Cheng (QSS)

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Presentation transcript:

M. Goldberg NOAA/NESDIS Z. Cheng (QSS) Ensuring consistency between AMSU-A climate temperature retrieval products from NOAA-15 and NOAA-16 M. Goldberg NOAA/NESDIS Z. Cheng (QSS)

Topics Review Strategy for using N16 and N15 Comparisons between N16 and N15 observations. Retrieval Results

Datasets Daily, Pentad and Monthly 1x1 grids - ascending/descending - July 1998 to present Products - Limb adjusted brightness temperatures - Temperature profile from 0.1 mb to 1000 mb - Total Precipitable Water – ocean only - Cloud Liquid Water - ocean only Accuracy ~ 1.5 K over 3 km layers

Ecmwf forecast - AMSU-A retrieval @ 3mb Bias = -4.34 , Sdv = 3.4 September 18, 2001 (HALOE -0.25 K, 2.2 K)

ch13 -2.6, 1.35 -.08, 0.26

Climate Quality Algorithm is constant. Coefficients are not updated. As a result: - trends/changes are due to changes in the atmosphere and not due to changes in algorithm or coefficients.

NOAA 15 AMSU-A Retrieval Methodology Limb adjust brightness temperatures Linear regression to solve for atmospheric temperature Coefficients: - July 1998 -- limb adjustment coefficients - July 1998 – Dec 1998 collocated radiosondes to derive regression coefficients - Synthetic regression used above 10 mb.

Strategy for consistent climate quality NOAA-15 & NOAA-16 AMSU-A temperature product Goal: To ensure that differences between N15 and N16 AMSU-A temperature retrievals are due only to atmospheric differences. Requirements: - Retrieval coefficients are the same (synthetic). - All empirical coefficients are from the same time period. - Compute offsets between N15 and N16

NOAA-15 and NOAA-16 AMSU-A comparisons Reconfirmed that asymmetry in AMSU-A exists. It is different in NOAA-15 and NOAA-16 Differences between NOAA-16 and NOAA-15 are generally small --- especially near nadir. Differences increase if antenna corrections are applied .

FOV #

FOV #

Offsets between N15 and N16 Generated annual mean limb adjusted brightness temperature field for both N15 and N16 (Nov 00. – Oct. 01) Offsets should be independent of satellite observing time Averaged ascending/descending for N15 -- mean time of 1:30 pm and compared with ascending N16 data. Averaged ascending/descending for N16 -- mean time of 7:30 am and compared with descending N15 data.

OFFSETS channel n15all – n16asc n15desc – n16all

NOAA 15 NOAA 16 no offsets

NOAA-15 Adjusted NOAA-16

Summary NOAA-16 and NOAA-15 retrievals Algorithm is very robust and retrievals are accurate. Model independent retrievals are very important for validating model dependent analyses and climate prediction models. Microwave observations are very important for monitoring temperature. New microwave sounders are on the horizon (SSMIS, ATMS, CMIS).