RT Journal Article
T1 A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks
A1 Nieto Muñiz, Raquel Olalla
A1 Gimeno Presa, Luis
K1 2501.06 Dinámica Atmosférica
K1 2508.10 Precipitación
K1 2508 Hidrología
AB 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 article, we propose an approach to estimate the optimal integration time for these Lagrangian methods for estimating sources and sinks, by comparing estimates of precipitation from the Lagrangian approach using different times of integration with results obtained from three state-of-the-art reanalyses, thereby providing a database of optimal integration times per month, for a spatial resolution of 0.25° × 0.25° in latitude and longitude.
PB Scientific Data
SN 20524463
YR 2019
FD 2019-05-16
LK http://hdl.handle.net/11093/4047
UL http://hdl.handle.net/11093/4047
LA eng
NO Scientific Data, 6(1): 59 (2019)
NO Ministerio de Ciencia e Innovación | Ref. CGL2015-65141-R
DS Investigo
RD 10-sep-2024