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Optimal Integration Times for Lagrangian Studies of Atmospheric Moisture Sources and Sinks

Authors: Raquel Nieto; Luis Gimeno;

Optimal Integration Times for Lagrangian Studies of Atmospheric Moisture Sources and Sinks

Abstract

Lagrangian methods for estimating sources and sinks of water vapour have increased in importance in recent years, with hundreds of publications over the past decade on this topic. Results derived from these approaches are, however, very sensitive to the integration time of the trajectories used in the analysis. The most widely used integration time is that derived from the average residence time of water vapour in the atmosphere, normally considered to be around 10 days. In this database, we provide the annual and monthly Optimal Integration Times (OPT), for a spatial resolution of 0.25º x 0.25º in latitude and longitude using data from the European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Interim) for the period 1980-2015 for Lagrangian Studies of Atmospheric Moisture Sources and Sinks. The data is completelly described in: R. Nieto, L. Gimeno (2019) A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks, Scientific Data 6, 1-10, https://doi.org/10.1038/s41597-019-0068-8 and you should reference it directly.

{"references": ["R. Nieto,\u00a0L. Gimeno\u00a0(2019)\u00a0A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks,\u00a0Scientific Data, May, Vol. 6, Pages 1-10, DOI: https://doi.org/10.1038/s41597-019-0068-8"]}

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Keywords

Optimal Integration Times for Lagrangian Studies, Moisture transport, Lagrangian models, Average residence time of water vapour in the atmosphere

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
5
Top 10%
Top 10%
Average
17
54
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