English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Profiles of atmospheric state variables retrieved fromremote measurements often contain a priori informationwhich causes complication in the statistical use of dataand in the comparison with other measured or modeled data.For such applications it often is desirable to remove thea priori information from the data product. If the retrievalinvolves an ill-posed inversion problem, formal removal ofthe a priori information requires resampling of the dataon a coarser grid, which in some sense, however, is a priorconstraint in itself. The fact that the trace of the averagingkernel matrix of a retrieval is equivalent to the number of degreesof freedom of the retrieval is used to define an appropriateinformation-centered representation of the data where eachdata point represents one degree of freedom. Since regriddingimplies further degradation of the data and thus causesadditional loss of information, a re-regularization schemehas been developed which allows resampling withoutadditional loss of information. For a typical ClONO<sub>2</sub>profile retrieved from spectra as measured by the MichelsonInterferometer for Passive Atmospheric Sounding (MIPAS),the constrained retrieval has 9.7 degrees of freedom.After application of the proposed transformation to a coarserinformation-centered altitude grid, there are exactly 9 degreesof freedom left, and the averaging kernel on the coarse grid isunity. Pure resampling on the information-centered grid withoutre-regularization would reduce the degrees of freedom to 7.1 (6.7)for a staircase (triangular) representation scheme

Elimination of hidden a priori information from remotely sensed profile data