A5002864648- Peatlands and Wetlands Ecology
- Climate variability and models
- Botany and Plant Ecology Studies
- Fire effects on ecosystems
- Science and Climate Studies
- Meteorological Phenomena and Simulations
- Methane Hydrates and Related Phenomena
- Geology and Paleoclimatology Research
- Atmospheric and Environmental Gas Dynamics
- Coastal wetland ecosystem dynamics
- Hydrology and Drought Analysis
- Oceanographic and Atmospheric Processes
- Climate change and permafrost
- Geophysics and Gravity Measurements
- Hydrology and Watershed Management Studies
- Precipitation Measurement and Analysis
- Pacific and Southeast Asian Studies
- Coral and Marine Ecosystems Studies
- Forest Ecology and Biodiversity Studies
- Australian Indigenous Culture and History
- Ocean Acidification Effects and Responses
- Landslides and related hazards
- Flood Risk Assessment and Management
- Climate change impacts on agriculture
- Hydrology and Sediment Transport Processes
Vrije Universiteit Amsterdam
2017-2024
ARC Centre of Excellence for Climate System Science
2014-2021
UNSW Sydney
2012-2021
Amsterdam UMC Location Vrije Universiteit Amsterdam
2020
Abstract The 2019/20 Black Summer bushfire disaster in southeast Australia was unprecedented: the extensive area of forest burnt, radiative power fires, and extraordinary number fires that developed into extreme pyroconvective events were all unmatched historical record. Australia’s hottest driest year on record, 2019, characterised by exceptionally dry fuel loads primed landscape to burn when exposed dangerous fire weather ignition. combination climate variability long-term trends generated...
We present the second update to a data set of gridded land-based temperature and precipitation extremes indices: HadEX3. This consists 17 12 indices derived from daily, in situ observations recommended by World Meteorological Organization (WMO) Expert Team on Climate Change Detection Indices (ETCCDI). These have been calculated at around 7,000 locations for 17,000 precipitation. The annual (and monthly) interpolated 1.875°×1.25° longitude-latitude grid, covering 1901–2018. show changes these...
Changes in climate extremes are often monitored using global gridded datasets of based on situ observations or reanalysis data. This study assesses the consistency temperature and precipitation between these datasets. Both temporal evolution spatial patterns annual daily values compared across multiple reanalyses to make inferences robustness obtained results. While normalized time series generally compare well, actual data differ systematically different is partly related computational...
Abstract Extreme precipitation often persists for multiple days with variable duration but has usually been examined at fixed duration. Here we show that considering extreme persistent by complete event duration, rather than a temporal period, is necessary metric to account the complexity of changing precipitation. Observed global mean annual‐maximum significantly stronger (49.5%) extremes daily extremes. However, both globally observed and modeled rates relative increases are lower compared...
Abstract Extreme precipitation occurring on consecutive days may substantially increase the risk of related impacts, but changes in such events have not been studied at a global scale. Here we use unique dataset based situ observations and multimodel historical future simulations to analyze frequency extreme (EPCD). We further disentangle relative contributions variations intensity temporal correlation understand processes that drive EPCD. Observations climate model show EPCD is increasing...
Abstract Global gridded data sets of observed extremes indices underpin assessments changes in climate extremes. However, similar efforts to enable the assessment relevant different sectors society have been missing. Here we present a set sector‐specific indices, based on daily station data, that extends HadEX3 indices. These additional which can be used singly or combinations, recommended by World Meteorological Organization and are intended empower decision makers with accurate historical...
Accurate modelling of peatland carbon dynamics is critical for understanding their role in the global cycle and predicting future greenhouse gas (GHG) fluxes. In this study, we present an updated version Peatland-VU model, v3.0, designed to enhance simulation peat decomposition processes below-ground soil organic matter (SOM) dynamics.A key focus development improved representation SOM sensitivity temperature, which evaluate using both Arrhenius equation Q10 relationships. The model allows...
The sparse nature of observational records across the mid- to high latitudes Southern Hemisphere limits ability place late-twentieth-century environmental changes in context long-term (multidecadal and centennial) variability. Historical from subantarctic islands offer considerable potential for developing highly resolved change. In 1905, a whaling meteorological station was established at Grytviken on South Georgia Atlantic (54°S, 36°W), providing near-continuous daily observations through...
Abstract Wetlands are the largest natural source of global atmospheric methane (CH 4 ). Despite advances to our understanding changes in temperature and precipitation extremes, their impacts on carbon‐rich ecosystems such as wetlands, remain significantly understudied. Here, we quantify extreme temperature, precipitation, dry events wetland CH dynamics by investigating effects both compound discrete extreme‐events. We use long‐term climate data identify extreme‐events 45 eddy covariance...
Abstract. Despite covering only 3 % of the planet’s land surface, peatlands store 30 terrestrial carbon. The net greenhouse gas (GHG) emissions from depend on many factors but primarily soil temperature, vegetation composition, water level and drainage, management. However, peatland models rely levels to estimate CH4 exchange, neglecting consider role transported atmosphere by vegetation. To assess impact GHG fluxes peatlands, we have developed a new model, Peatland-VU-NUCOM (PVN). PVN model...
Abstract. Northern latitude peatlands act as important carbon sources and sinks, but little is known about the greenhouse gas (GHG) budgets of that were submerged beneath North Sea during last glacial–interglacial transition. We found whilst peat formation was diachronous, commencing between 13 680 8360 calibrated years before present, stratigraphic layering local vegetation succession consistent across a large study area. Large stores measured. In situ methane (CH4) concentrations sediment...
Draining peatlands results in oxic soil conditions that causes microbial oxidation of peat. Drained are a large source for CO2 emissions, contributing 2-5% to the total anthropogenic greenhouse gas emissions. Understanding processes contribute peat useful simulate, predict and project emission different environmental conditions. In wet conditions, is anoxic, which leads an increase methane (CH4) emission. Wetlands, including peatlands, largest natural CH4. Weather water table height,...
Abstract. Despite covering only 3 % of the planet’s land surface, peatlands store 30 terrestrial carbon. The potential to both emit and drawdown CO2 CH4, means that have a complex multifaceted relationship with global climate system. net GHG emissions from depends on many factors but primarily vegetation composition, ground water level drainage, management, soil temperature. Many peatland models use surface levels estimate CH4 exchange, neglecting consider efficiency transported atmosphere by...