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Optimal interpolation method for intercomparison of atmospheric measurements
Marco Ridolfi1, Simone Ceccherini, Bruno Carli
1Department of Physical and Inorganic Chemistry, University of Bologna, Viale del Risorgimento, 4-40136 Bologna, Italy. marco.ridolfi@unibo.it
Comparing atmospheric measurements is challenging due to differing spatial response functions. A new method uses optimal interpolation to minimize smoothing errors, allowing retention of vertical resolution from less-resolved atmospheric profiles.
Area of Science:
- Atmospheric science
- Remote sensing
- Geosciences
Background:
- Intercomparison of atmospheric measurements is complicated by varying spatial response functions.
- Differences in averaging kernels and vertical resolutions hinder accurate comparisons.
Purpose of the Study:
- To introduce a novel method for comparing atmospheric profiles with disparate averaging kernels.
- To minimize smoothing errors arising from differences in vertical resolution.
Main Methods:
- Developed a new method for comparing atmospheric profiles with different vertical resolutions.
- Utilized an optimal interpolation rule to map profiles between retrieval grids.
- Minimized smoothing errors caused by differing averaging kernels.
Main Results:
- The proposed method effectively minimizes smoothing errors between atmospheric profiles.
- Successfully mapped one profile onto the retrieval grid of another.
- Retained the vertical resolution of the less-resolved profile during intercomparison.
Conclusions:
- The new method offers a significant improvement for intercomparing atmospheric measurements.
- This technique preserves the original vertical resolution of less-resolved data.
- Facilitates more accurate and reliable comparisons of atmospheric profiles.
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