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LANDSLIP knowledge product : meteorological data

LANDSLIP Project. 2021 LANDSLIP knowledge product : meteorological data. British Geological Survey, 11pp. (OR/21/067) (Unpublished)

Abstract

Landslide Early Warning System (LEWS) for rainfall-induced landslides require
meteorological data inputs. Meteorological data for
LEWS typically falls under two categories: (1) historical
observation data and (2) forecast data, which can be
used in forward modelling to forecast the potential
occurrence of future landslides.
This KP provides an overview of the meteorological
data used in LANDSLIP. Part A and Part B provide an
overview of observation and forecast data, respectively,
while Part C and Part D describe how these datasets
have been used to develop short-range (out to 3-days
ahead) and medium-range (out to 15-days ahead)
landslide forecast applications respectively.
This document provides an overview of the key
considerations when using meteorological data for
regional LEWS development. Based on the experiences
of developing the two LANDSLIP forecast products, the
variability, accessibility and processing considerations
of using different types of meteorological data will be
described. The final section provides recommendations
for others interested in using meteorological data for the
development of operational LEWS.

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BGS Programmes 2020 > Digital
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