@Article{ZeriWCCVBMHCMAMG:2022:EvUsJU,
author = "Zeri, Marcelo and Williams, Karina and Cunha, Ana Paula M. A. and
Cunha Zeri, Gisleine da Silva and Vianna, Murilo S. and Blyth,
Eleanor M. and Marthews, Toby R. and Hayman, Garry D. and Costa,
Jos{\'e} Maria and Marengo, Jos{\'e} A. and Alval{\'a}, Regina
C. S. and Moraes, Osvaldo L. L. and Galdos, Marcelo V.",
affiliation = "{Centro Nacional de Monitoramento e Alertas de Desastres Naturais
(CEMADEN)} and {Met Office} and {Centro Nacional de Monitoramento
e Alertas de Desastres Naturais (CEMADEN)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {University of Leeds} and {UK
Centre for Ecology \& Hydrology} and {UK Centre for Ecology \&
Hydrology} and {UK Centre for Ecology \& Hydrology} and {Centro
Nacional de Monitoramento e Alertas de Desastres Naturais
(CEMADEN)} and {Centro Nacional de Monitoramento e Alertas de
Desastres Naturais (CEMADEN)} and {Centro Nacional de
Monitoramento e Alertas de Desastres Naturais (CEMADEN)} and
{Centro Nacional de Monitoramento e Alertas de Desastres Naturais
(CEMADEN)} and {University of Leeds}",
title = "Importance of including soil moisture in drought monitoring over
the Brazilian semiarid region: An evaluation using the JULES
model, in situ observations, and remote sensing",
journal = "Climate Resilience and Sustainability",
year = "2022",
volume = "1",
number = "1",
pages = "e7",
keywords = "drought, drought indices, drought management policies, land
surface model, soil moisture.",
abstract = "Soil moisture information is essential to monitoring of the
intensity of droughts,the start of the rainy season, planting
dates and early warnings of yield losses.We assess spatial and
temporal trends of drought over the Brazilian semiaridregion by
combining soil moisture observations from 360 stations, root zone
soilmoisture from a leading land surface model, and a vegetation
health index fromremote sensing. The soil moisture dataset was
obtained from the network of sta-tions maintained by the National
Center of Monitoring and Early Warning ofNatural Disasters
(Cemaden), in Brazil. Soil water content at 10 to 35 cm depth,for
the period 19792018, was obtained from running the JULES land
surfacemodel (the Joint UK Land Environment Simulator). The
modelled soil moisturewas correlated with measurements in the
common period of 20152018, result-ing in an average correlation
coefficient of 0.48 across the domain. The
standard-izedsoilmoistureanomaly(SMA)wascalculatedforthelong-termmodelledsoilmoisture
and revealed strong negative values during well-known drought
peri-ods in the region, especially during El-Niņo years. The
performance of SMA inidentifying droughts during the first 2
months of the raining and cropping sea-son was similar to the
Standardized Precipitation Index (SPI), commonly usedfor drought
assessment: 1214 events were identified by both indices. Finally,
thetemporal relationship between both SMA and SPI with the
Vegetation HealthIndex (VHI) was assessed using the cross-wavelet
transform. The results indi-cated lagged correlations of 1 to 1.5
months in the annual scale, suggesting thatnegative trends in SMA
and SPI can be an early warning to yield losses during the growing
season. Public policies on drought assessment should consider
thecombination of multiple drought indices, including soil
moisture anomaly.",
doi = "10.1002/cli2.7",
url = "http://dx.doi.org/10.1002/cli2.7",
issn = "2692-4587",
label = "lattes: 5644797510360085 4 ZeriWCZVBMHCMAMG:2022:EvUsJU",
language = "en",
targetfile = "Climate Resilience - 2021 - Zeri - Importance of including soil
moisture in drought monitoring over the Brazilian semiarid.pdf",
urlaccessdate = "11 maio 2024"
}