4.6 Article

The Importance of the One-Dimensional Assumption in Soil Moisture - Rainfall Depth Correlation at Varying Spatial Scales

Journal

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
Volume 124, Issue 6, Pages 2964-2975

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2018JD029762

Keywords

-

Funding

  1. ARC Centre of Excellence for Climate System Science
  2. ARC Discovery Projects funding scheme [DP40103679]
  3. ARC Centre of Excellence for Climate System Science [CE170100023]

Ask authors/readers for more resources

Inferring local land-atmosphere coupling through correlation of colocated soil moisture and future rainfall inherently assumes a one-dimensional (1-D) framing of the coupling mechanism. For the first time we demonstrate the importance of upholding this assumption by examining the statistical relationship between daily soil moisture and rainfall depths over Australia, specifying spatial scales (0.05 degrees, 0.5 degrees, 1 degrees, and 2.5 degrees) to constrain the relationship to local-only physical processes. At small scales, without consideration of the 1-D assumption, strong land-atmosphere coupling is suggested across much of the country. However, when adhering to a 1-D framework, small sample sizes make correlation unsuitable for assessing local coupling at these small scales. When adhering to a 1-D framework, at scales of 0.5 degrees and above, we find positive correlations in northern Australia in the wet and transition seasons and negative correlations in southern Australia in austral winter. The correlation is scale dependent, suggesting that as spatial resolutions increase in the future and land-atmosphere coupling heterogeneity is resolved, spatial distributions of local coupling may differ from larger-scale estimates characteristic of current coarse resolution climate models.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Meteorology & Atmospheric Sciences

The CORDEX-CORE EXP-I Initiative Description and Highlight Results from the Initial Analysis

Filippo Giorgi, Erika Coppola, Daniela Jacob, Claas Teichmann, Sabina Abba Omar, Moetasim Ashfaq, Nikolina Ban, Katharina Buelow, Melissa Bukovsky, Lars Buntemeyer, Tereza Cavazos, James Ciarlo, Rosmeri Porfirio da Rocha, Sushant Das, Fabio di Sante, Jason P. Evans, Xuejie Gao, Graziano Giuliani, Russell H. Glazer, Peter Hoffmann, Eun-Soon Im, Gaby Langendijk, Ludwig Lierhammer, Marta Llopart, Sebastial Mueller, Rosa Luna-Nino, Rita Nogherotto, Emanuela Pichelli, Francesca Raffaele, Michelle Reboita, Diana Rechid, Armelle Remedio, Thomas Remke, Windmanagda Sawadogo, Kevin Sieck, Jose Abraham Torres-Alavez, Torsten Weber

Summary: This article describes the first effort of the Coordinated Regional Climate Downscaling Experiment (CORDEX)-CORE EXP-I, which involves using regional climate models (RCMs) to downscale global climate model (GCM) simulations from the CMIP5 program. The results cover a wide range of topics, including extreme indices, storms, monsoons, and more. The CORDEX-CORE EXP-I ensemble provides unprecedented downscaled information to improve understanding of regional climate change and impacts.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2022)

Article Meteorology & Atmospheric Sciences

Reconciling historical changes in the hydrological cycle over land

Sanaa Hobeichi, Gab Abramowitz, Anna M. Ukkola, Martin De Kauwe, Andy Pitman, Jason P. Evans, Hylke Beck

Summary: The latest report confirms that global warming has caused significant changes in the global terrestrial hydrological cycle, but the inconsistencies in reported trends indicate a lack of rigorous observation-based assessment of the different components of the cycle. By analyzing the major components of the hydrological cycle and vegetation greenness, this study provides important insights into the changes and offers opportunities for water resources management and climate risk assessment.

NPJ CLIMATE AND ATMOSPHERIC SCIENCE (2022)

Article Meteorology & Atmospheric Sciences

High impact compound events in Australia

Nina N. Ridder, Andy J. Pitman, Anna M. Ukkola

Summary: Many natural disasters in Australia are compound events, caused by multiple meteorological factors occurring together. These compound events pose greater risks to socio-economic and ecological systems compared to single meteorological events. Heatwaves and drought, as well as strong winds and heavy precipitation, are two important hazard combinations in Australia. The north-western Australian coast is particularly prone to the joint occurrence of wind and precipitation extremes. Heatwaves and drought frequently co-occur multiple times per year over most of Australia, with shorter return periods in the tropical north. CMIP6 models accurately capture the return periods of both compound events. Future projections show that co-occurring heatwaves and droughts are expected to become more frequent in southern Australia, while northern Australia is projected to face increased risk from wind and precipitation extremes. The high skill of CMIP6 models in simulating these compound events and the consistent spatial patterns projected suggest that these models can be used to assess the large-scale risk of compound events and support national scale planning for future risks.

WEATHER AND CLIMATE EXTREMES (2022)

Article Meteorology & Atmospheric Sciences

Assessing the potential for crop albedo enhancement in reducing heatwave frequency, duration, and intensity under future climate change

Jatin Kala, Annette L. Hirsch, Tilo Ziehn, Sarah E. Perkins-Kirkpatrick, Martin G. De Kauwe, Andy Pitman

Summary: Adapting to future warming is a challenge, and one proposed strategy is crop albedo enhancement for reducing heatwave impacts. This study shows that increasing crop albedo can reduce heatwave frequency and temperature anomalies, but has limited effect on heatwave duration. The changes are largely driven by reduced net radiation and sensible heat flux, presenting advantages for implementation.

WEATHER AND CLIMATE EXTREMES (2022)

Article Meteorology & Atmospheric Sciences

An object-based climatology of precipitation systems in Sydney, Australia

Hooman Ayat, Jason P. Evans, Steven C. Sherwood, Joshua Soderholm

Summary: The study examines a coastal site in Sydney, Australia, using 20 years of radar data to establish a regional precipitation system climatology. The findings reveal that extreme storms with high translation-speed, size, and rainfall intensity usually occur in the warm season, specifically between 10 am and 8 pm. Precipitation systems are more frequent in the cold season and typically initiate over the ocean and move northward. Clustering algorithms identify five distinct precipitation system types that peak in different seasons. Although there is no overall link between rainfall statistics and climate modes, some system types show connections using a multivariate approach.

CLIMATE DYNAMICS (2023)

Article Environmental Sciences

Widespread shift from ecosystem energy to water limitation with climate change

Jasper M. C. Denissen, Adriaan J. Teuling, Andy J. Pitman, Sujan Koirala, Mirco Migliavacca, Wantong Li, Markus Reichstein, Alexander J. Winkler, Chunhui Zhan, Rene Orth

Summary: Climate change is projected to shift the balance between energy and water limitations in terrestrial ecosystems, with important implications for food production and carbon uptake. Using Earth system model simulations, the study demonstrates a widespread regime shift from energy to water limitation between 1980 and 2100, driven by changes in net radiation and soil moisture.

NATURE CLIMATE CHANGE (2022)

Article Meteorology & Atmospheric Sciences

Multivariate bias correction of regional climate model boundary conditions

Youngil Kim, Jason P. Evans, Ashish Sharma

Summary: To improve modeling capacities, a better understanding of physical relationships and higher skill climate models are needed. Regional Climate Models (RCMs) are commonly used to resolve finer scales, but their application is restricted by systematic biases within Global Climate Models (GCMs) datasets. Hence, it is advisable to remove these biases in GCM simulations prior to downscaling. Various techniques have been formulated to correct the biases, but most correct each variable independently, leading to physical inconsistencies. This study investigates bias corrections ranging from simple to complex techniques and shows that applying bias correction to RCM boundaries significantly improves model performance, with multivariate bias correction better representing extreme events.

CLIMATE DYNAMICS (2023)

Article Geosciences, Multidisciplinary

Analysis and characterisation of extreme wind gust hazards in New South Wales, Australia

Moutassem El Rafei, Steven Sherwood, Jason Evans, Andrew Dowdy

Summary: Extreme wind gusts cause significant socioeconomic damage. It is challenging to analyze these rare and localized events using either modeling or empirical approaches. A 23-year long data record from 29 automatic weather stations in eastern Australia was used to study the distribution, frequency, and average recurrence intervals of extreme gusts. The study confirms the dominant role of thunderstorms in producing the most extreme gusts in the region and shows that wind risk varies strongly with distance from the coast.

NATURAL HAZARDS (2023)

Article Energy & Fuels

Air quality impacts on rooftop photovoltaic energy production during the 2019-2020 Australian bushfires

Alejandra Isaza, Merlinde Kay, Jason P. Evans, Abhnil Prasad, Stephen Bremner

Summary: The Black Summer bushfires in 2019-2020 had significant impacts on health, wildlife, and infrastructure in eastern Australia. The smoke-related aerosols generated from these fires also had a negative effect on solar energy production. This study examines the effects of high particulate matter (PM) concentrations on photovoltaic (PV) energy production in New South Wales during the bushfire season, finding that polluted conditions led to reductions in PV generation, especially in areas near the burning bushfires. High-speed winds carried the smoke hundreds of kilometers, affecting air quality and PV energy generation in Sydney.

SOLAR ENERGY (2023)

Article Meteorology & Atmospheric Sciences

Analysis of extreme wind gusts using a high-resolution Australian Regional Reanalysis

Moutassem El Rafei, Steven Sherwood, Jason P. Evans, Fei Ji

Summary: The study examines extreme wind gust events in eastern Australia using long-term reanalysis data and station observations. By utilizing the generalised Pareto distribution and a decision tree model, the study estimates return values and distinguishes between convective and synoptic gust events. The reanalysis data proves to be valuable, especially in regions with limited observational coverage.

WEATHER AND CLIMATE EXTREMES (2023)

Article Environmental Sciences

A CMIP6-based multi-model downscaling ensemble to underpin climate change services in Australia

Michael R. Grose, Sugata Narsey, Ralph Trancoso, Chloe Mackallah, Francois Delage, Andrew Dowdy, Giovanni Di Virgilio, Ian Watterson, Peter Dobrohotoff, Harun A. Rashid, Surendra Rauniyar, Ben Henley, Marcus Thatcher, Jozef Syktus, Gab Abramowitz, Jason P. Evans, Chun -Hsu Su, Alicia Takbash

Summary: A multi-scenario, multi-model ensemble of simulations from regional climate models is used to generate climate projections and a climate change service. The selected models are chosen based on their performance and representativeness, and they provide key data for future climate planning in Australia.

CLIMATE SERVICES (2023)

Article Geosciences, Multidisciplinary

Biases in Estimating Long-Term Recurrence Intervals of Extreme Events Due To Regionalized Sampling

Moutassem El Rafei, Steven Sherwood, Jason Evans, Andrew Dowdy, Fei Ji

Summary: Preparing for environmental risks requires estimating the frequencies of extreme events, often from data records that are too short to confirm them directly. Fitting a statistical distribution to the data is necessary, but pooling data from neighboring sites into single samples can introduce unexpected biases in typical situations. Previous analyses may have overestimated the likelihood of extreme events arising from natural weather variability.

GEOPHYSICAL RESEARCH LETTERS (2023)

Article Multidisciplinary Sciences

High-resolution (1 km) Köppen-Geiger maps for 1901-2099 based on constrained CMIP6 projections

Hylke E. Beck, Tim R. Mcvicar, Noemi Vergopolan, Alexis Berg, Nicholas J. Lutsko, Ambroise Dufour, Zhenzhong Zeng, Xin Jiang, Albert I. J. M. van Dijk, Diego G. Miralles

Summary: This study introduces Version 2 of the widely used 1-km Koppen-Geiger climate classification maps, which include historical and future climate conditions. The maps are based on high-resolution observation data and climate projections. The results show that approximately 5% of the global land surface has transitioned to a different major climate class in the past, and this proportion is projected to increase in the future under different emissions scenarios.

SCIENTIFIC DATA (2023)

Article Forestry

Relating McArthur fire danger indices to remote sensing derived burned area across Australia

Sami Ullah Shah, Marta Yebra, Albert I. J. M. Van Dijk, Geoffrey J. Cary

Summary: The study found a positive correlation between fire danger classes and burned area in Australia's inland regions, but elevated fire danger classes did not contribute to this trend. In coastal regions, there was no relationship between fire danger classes and burned area.

INTERNATIONAL JOURNAL OF WILDLAND FIRE (2023)

Article Geosciences, Multidisciplinary

Remotely sensed reservoir water storage dynamics (1984-2015) and the influence of climate variability and management at a global scale

Jiawei Hou, Albert I. J. M. van Dijk, Hylke E. Beck, Luigi J. Renzullo, Yoshihide Wada

Summary: Large dam reservoirs have been constructed worldwide to increase water supplies and support economic growth. Using remote sensing technology, the monthly water storage of 6695 reservoirs between 1984 and 2015 was reconstructed. It was found that 23% of reservoirs experienced significant decreases in storage, while 21% experienced increases. These changes were primarily influenced by precipitation and river inflow, highlighting the importance of long-term precipitation changes for reservoir water storage.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2022)

No Data Available