I wonder whether the same situation applies to CERES GEO products?The SYN1deg Ed4A should not be used to infer longterm trends of clouds or fluxes and are not of climate quality. Users should be aware that whenever a GEO ___domain is crossed, whether in time or space, a slight change in mean cloud property values should be expected. Although the GEO derived fluxes have been carefully normalized with CERES fluxes, some residual GEO artifacts will remain.
CERES_SYN1deg_Ed4A and CERES_GEO_Ed4
-
- Posts: 15
- Joined: Wed Jul 05, 2023 11:05 pm America/New_York
- Has thanked: 1 time
CERES_SYN1deg_Ed4A and CERES_GEO_Ed4
The documentation of CERES_SYN1deg_Ed4A mentioned that
Filters:
-
- Subject Matter Expert
- Posts: 168
- Joined: Mon Mar 22, 2021 3:55 pm America/New_York
- Has thanked: 1 time
- Been thanked: 10 times
Re: CERES_SYN1deg_Ed4A and CERES_GEO_Ed4
Hello,
We have contacted an expert in CERES GEO products and they will answer your question shortly.
Thanks,
ASDC
We have contacted an expert in CERES GEO products and they will answer your question shortly.
Thanks,
ASDC
-
- Subject Matter Expert
- Posts: 168
- Joined: Mon Mar 22, 2021 3:55 pm America/New_York
- Has thanked: 1 time
- Been thanked: 10 times
Re: CERES_SYN1deg_Ed4A and CERES_GEO_Ed4
Hello,
The analysis approach that was employed was not designed to derive consistent cloud properties across satellite platforms with varying imager characteristics. Therefore, these data should not be used in time series analyses across satellites since this version is not designed for climate data records. For example, the 16-band imager on GOES-16 is much different than the earlier 5-band imagers over the GOES-E ___domain. These have different sensitivities to clouds and were analyzed with different algorithms using different spectral information to derive the most accurate information possible for each satellite, which could lead to larger inconsistencies for some cloud regimes and geographic regions than for others.
Thanks,
ASDC
The analysis approach that was employed was not designed to derive consistent cloud properties across satellite platforms with varying imager characteristics. Therefore, these data should not be used in time series analyses across satellites since this version is not designed for climate data records. For example, the 16-band imager on GOES-16 is much different than the earlier 5-band imagers over the GOES-E ___domain. These have different sensitivities to clouds and were analyzed with different algorithms using different spectral information to derive the most accurate information possible for each satellite, which could lead to larger inconsistencies for some cloud regimes and geographic regions than for others.
Thanks,
ASDC