Validation FacilitySentinel 5P Mission Performance Center
Validation against SHADOZ ozonesonde data confirms that the TROPOMI/S5p OFFL tropospheric O3 (L2_O3_TCL) data product meets mission requirements.
This web article summarizes the results of the validation of the first year of S5P OFFL tropospheric ozone column data products (v01.01.05, v01.01.06 and v01.01.07) against co-located vertically integrated ozonesonde profile data collected by the SHADOZ network. All quality indicators remain within mission requirements during the period 30 April 2018 – 25 April 2019. When compared to the ground-based network, QA-screened S5P data have a positive median bias of 14% or 2.7 DU, and the spread in the intercomparisons is 23% or 4.2 DU. Two types of sampling-related bias patterns can be discerned.
First comparison results for the S5P CH4 product based on correlative reference measurements acquired by FTIR instruments contributing to NDACC and TCCON networks.
This VDAF web article gives further details on the first comparison results presented in the CH4 product readme file for the methane data product release (see http://www.tropomi.eu/data-products/methane). The main conclusion is that the product quality of this initial L2 CH4 dataset complies with the S5P mission requirements.
First validation results for Sentinel-5p NO2 column data.
This report describes initial validation results for Sentinel-5p TROPOMI L2_NO2 tropospheric column, stratospheric column and total column data: tropospheric and total NO2 column data retrieved with the OFFL processor (v1.0.1), and stratospheric column data retrieved with the OFFL processor (v1.0.1) and the NRTI processor (v1.0.2).
The validation analyses summarised in this article were carried out in May and June 2018 and reported at the 1st Product Release Workshop held at ESA/ESRIN on June 25-26, 2018.
A first validation against NDACC and WOUDC ground-based data confirms that the TROPOMI/S5p NRTI total O3 (L2_O3) product meets mission requirements. Initial Sentinel-5p TROPOMI L2_O3 O3 column data retrieved with the PDGS NRTI processor (v1.0.0) have been compared to reference measurements acquired by instruments contributing to WMO’s Global Atmosphere Watch. Of the order of 20 to 100 co-locations have been identified at about 20 Brewer and Dobson sites and at 11 SAOZ sites, sampling many latitudes from the Arctic to the Antarctic. The following preliminary conclusions could be drawn:Short scale temporal variations in the ozone column as captured by ground-based instruments are reproduced very similarly by S5P. This overall good agreement is corroborated by Pearson correlation coefficients well above 0.9.The bias between S5P and reference data at individual stations rarely exceeds 3%,and the network-averaged bias is about +1%.The 1-sigma spread of the differences (between S5P and…
Preliminary comparison of TROPOMI/S5p RPRO CLOUD CAL cloud top height and CRB cloud height against ground-based CLOUDNET data.
From the Sentinel-5p TROPOMI L2_CLOUD RPRO 1.0.0 data, (November 2017 - begin May 2018), the ROCINN-CAL cloud top height and ROCINN-CRB cloud height were compared with the ground-based cloud target classification measurements from the CLOUDNET database (http://www.cloud-net.org/), obtained within the same time period. Clear correlations are established. The CAL cloud top height is lower than the CLOUDNET height by ~0.5-1 km and the CRB cloud height is lower than the CLOUDNET mid-height by 0.3-0.5 km.
First comparison results for the S5P CO product based on correlative reference measurements acquired by FTIR instruments contributing to NDACC and TCCON networks.
This VDAF web article gives further details on the first comparison results presented in the CO product readme file for the CO data product release. The main conclusion is that the product quality of this initial L2 CO dataset complies with the S5P mission requirements.
Current conclusions are however based on a limited initial dataset of measurements between November 2017 and 1 May 2018. The current validation analysis need to be extended over a full year of measurements, hence, a full cycle of key influence quantities, in order to enable detection of potential patterns, dependences, seasonal cycles and longer term features like drifts.
Quarterly Validation Report of the Sentinel-5 Precursor Operational Data Products #03: July 2018 – May 2019
Quarterly Validation Report of the Sentinel-5 Precursor Operational Data Products #02: July 2018 – February 2019
Quarterly Validation Report of the Sentinel-5 Precursor Operational Data Products #01: July – October 2018