Correction: Combining XCO2 Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO2 Maps with High Spatiotemporal Resolution.

Model estimated CO 2 time series at two surface stations in the southern extra-tropics, compared to CO 2 measurements taken at those stations.. The “GOSAT” line is from an

We have shown that combining information from MOPITT, SCIAMACHY and ACE- FTS provides a more complete view of the Asian outflow, from surface emissions to transport in the middle

Vertical and slant tropospheric NO 2 -columns from the new satellite instrument SCIA- MACHY on ENVISAT are validated by measurements of the Airborne Multi AXis DOAS

Period values of bioluminescence rhythms from neonatal SCN explants derived from CK1 e -deficient and wild-type control mice were analyzed by unpaired t-test with Welch’s

The new “Onion Peeling DOAS” retrieval method to derive water vapour density profiles from SCIAMACHY solar oc- cultation measurements in the spectral region 928–968 nm has shown

Maps of MSL trend differences successively using the DT correction derived from ERA-Interim and from ECMWF operational pressures fields (reference) for ERS-1, ERS-2, and TOPEX (on

NIES v02.21, SRFP v2.3.5, SRPR v2.3.5 and ACOS v3.5 al- gorithms were validated with the FTIR measurements from five TCCON stations and nearby GOSAT land data. As the GOSAT land

To test the impact of changing the vertical resolution of the transport model on the optimized fluxes, we assimilated the same data sets (surface layer and GOSAT) in inversions