Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons

Abstract NO 2 OMI = 0.76 × PSI + 1.18 × 10 15 - 2 r 2 = 0.66), which is indicative of varying biases in OMI. This perceived slope, induced by the problem of spatial scale, disappears in the comparison of the convolved kriged PSI and OMI (0.96 × PSI + 0.66 × 10 15 - 2 r 2 = 0.72), illustrating that OMI possibly has a constant systematic bias over the area. To avoid gross errors in comparisons made between gridded data vs. pointwise measurements, we argue that the concept of semivariogram (or spatial autocorrelation) should be taken into consideration, particularly if the field exhibits a strong degree of spatial heterogeneity at the scale of satellite and/or model footprints.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons ; volume:15 ; number:1 ; year:2022 ; pages:41-59 ; extent:19
Atmospheric measurement techniques ; 15, Heft 1 (2022), 41-59 (gesamt 19)

Creator
Souri, Amir H.
Chance, Kelly
Sun, Kang
Liu, Xiong
Johnson, Matthew S.

DOI
10.5194/amt-15-41-2022
URN
urn:nbn:de:101:1-2022010604172942172784
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:25 AM CEST

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Associated

  • Souri, Amir H.
  • Chance, Kelly
  • Sun, Kang
  • Liu, Xiong
  • Johnson, Matthew S.

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