Multiscaling analysis of high resolution space-time lidar-rainfall

In this study, we report results from scaling analysis of 2.5 m spatial and 1 s temporal resolution lidar-rainfall data. The high resolution spatial and temporal data from the same observing system allows us to investigate the variability of rainfall at very small scales ranging from few meters to ~...

Full description

Saved in:
Bibliographic Details
Main Authors: Lewandowski, P., Eichinger, W. E., Mandapaka, Pradeep V., Krajewski, Witold F.
Format: Article
Language:English
Published: 2012
Subjects:
Online Access:https://hdl.handle.net/10356/94056
http://hdl.handle.net/10220/8178
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-94056
record_format dspace
spelling sg-ntu-dr.10356-940562020-09-26T21:31:38Z Multiscaling analysis of high resolution space-time lidar-rainfall Lewandowski, P. Eichinger, W. E. Mandapaka, Pradeep V. Krajewski, Witold F. DRNTU::Science::Physics::Meteorology and climatology In this study, we report results from scaling analysis of 2.5 m spatial and 1 s temporal resolution lidar-rainfall data. The high resolution spatial and temporal data from the same observing system allows us to investigate the variability of rainfall at very small scales ranging from few meters to ~1 km in space and few seconds to ~30 min in time. The results suggest multiscaling behaviour in the lidar-rainfall with the scaling regime extending down to the resolution of the data. The results also indicate the existence of a space-time transformation of the form t~Lz at very small scales, where t is the time lag, L is the spatial averaging scale and z is the dynamic scaling exponent. Published version 2012-05-29T08:41:26Z 2019-12-06T18:50:05Z 2012-05-29T08:41:26Z 2019-12-06T18:50:05Z 2009 2009 Journal Article Mandapaka, P. V., Lewandowski, P., Eichinger, W. E., & Krajewski, W. F. (2009). Multiscaling Analysis of High Resolution Space-time Lidar-rainfall. Nonlinear Processes in Geophysics, 16, 579-586. https://hdl.handle.net/10356/94056 http://hdl.handle.net/10220/8178 10.5194/npg-16-579-2009 en Nonlinear processes in geophysics © 2009 Author(s). 8 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Science::Physics::Meteorology and climatology
spellingShingle DRNTU::Science::Physics::Meteorology and climatology
Lewandowski, P.
Eichinger, W. E.
Mandapaka, Pradeep V.
Krajewski, Witold F.
Multiscaling analysis of high resolution space-time lidar-rainfall
description In this study, we report results from scaling analysis of 2.5 m spatial and 1 s temporal resolution lidar-rainfall data. The high resolution spatial and temporal data from the same observing system allows us to investigate the variability of rainfall at very small scales ranging from few meters to ~1 km in space and few seconds to ~30 min in time. The results suggest multiscaling behaviour in the lidar-rainfall with the scaling regime extending down to the resolution of the data. The results also indicate the existence of a space-time transformation of the form t~Lz at very small scales, where t is the time lag, L is the spatial averaging scale and z is the dynamic scaling exponent.
format Article
author Lewandowski, P.
Eichinger, W. E.
Mandapaka, Pradeep V.
Krajewski, Witold F.
author_facet Lewandowski, P.
Eichinger, W. E.
Mandapaka, Pradeep V.
Krajewski, Witold F.
author_sort Lewandowski, P.
title Multiscaling analysis of high resolution space-time lidar-rainfall
title_short Multiscaling analysis of high resolution space-time lidar-rainfall
title_full Multiscaling analysis of high resolution space-time lidar-rainfall
title_fullStr Multiscaling analysis of high resolution space-time lidar-rainfall
title_full_unstemmed Multiscaling analysis of high resolution space-time lidar-rainfall
title_sort multiscaling analysis of high resolution space-time lidar-rainfall
publishDate 2012
url https://hdl.handle.net/10356/94056
http://hdl.handle.net/10220/8178
_version_ 1681058061953794048