Articles and reports

Methods and outcomes of the EMiR project are described in detail in the publicly available documents listed below.

Scientific articles

[This article summarises generation and quality assessment of the EMiR data record]
Bennartz, R., H. Höschen, B. Picard, M. Schröder, M. Stengel, O. Sus, B. Bojkov, S. Casadio, H. Diedrich, S. Eliasson, F. Fell, J. Fischer, R. Hollmann, R. Preusker, and U. Willén (2017): An intercalibrated dataset of total column water vapour and wet tropospheric correction based on MWR on board ERS-1, ERS-2, and Envisat, Atmos. Meas. Tech., 10, 1387-1402. DOI: 10.5194/amt-10-1387-2017.

[This article intercompares well established TCWV data records, among which EMiR]
Schröder, M., Lockhoff, M., Fell, F., Forsythe, J., Trent, T., Bennartz, R., Borbas, E., Bosilovich, M. G., Castelli, E., Hersbach, H., Kachi, M., Kobayashi, S., Kursinski, E. R., Loyola, D., Mears, C., Preusker, R., Rossow, W. B., and Saha, S. (2018): The GEWEX Water Vapor Assessment archive of water vapour products from satellite observations and reanalyses, Earth Syst. Sci. Data, 10, 1093-1117. DOI: 10.5194/essd-10-1093-2018.

Technical reports

MWR Calibration Assessment (DLV_EXT_06_CA_V121): Quality assessment of the MWR L1B brightness temperatures used as input for the EMiR processing schemes.

EMiR Level-2 and -3 Product Generation Algorithm Theoretical Basis Document (DLV_EXT_07B_ATBD_V220): Description of the EMiR instrument intercalibration procedure and the total column water vapour (TCWV) retrieval scheme.

EMiR Wet Tropospheric Correction Performance Analysis (DLV_INT_12_WTC_V101): Assessment of the potential of the EMiR TCWV product for improving the wet troposheric correction of altimetry observations.

Guidance for Sentinel-3 (DLV_EXT_09_S3_GUIDANCE_V102): Using the EMiR experience to draw recommendations for the operation of the MWR instruments onboard the Sentinel-3 series of satellites.

Validation Report (DLV_EXT_03_VAL_V100): Validation of the EMiR products by comparison against ground based (GNSS), satellite based (different approaches), and climate model based (EC Earth) reference data.

Product Description and Gap Analysis (DLV_CCN2_PRODDESC_V110): Description of the EMiR V1.1 Level-2 and Level-3 data files; comprehensive inventory of gaps in the EMiR V1.1 data record and the related causes.

Inclusion of sigma-0 in 1D-VAR retrieval (DLV_CCN2_SIGMA0_V100): Strategy towards including altimeter-based information on sea surface roughness into the EMiR retrieval.

[Last edited: 2019-07-30]