Downloads provided by UsageCounts
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"]}
Optimal Integration Times for Lagrangian Studies, Moisture transport, Lagrangian models, Average residence time of water vapour in the atmosphere
Optimal Integration Times for Lagrangian Studies, Moisture transport, Lagrangian models, Average residence time of water vapour in the atmosphere
| 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). | 5 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 17 | |
| downloads | 54 |

Views provided by UsageCounts
Downloads provided by UsageCounts