David Wallom
Biographic Data
| ID | 6824156 |
|---|---|
| NAME | David Wallom |
| GIVEN NAMES | David |
| FAMILY NAME | Wallom |
| SIGNATURE | WALLOM D |
| AFFILIATIONS | University of Oxford |
| ORCID | 0000-0001-7527-3407 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Change in cooling degree days with global mean temperature rise increasing from 1.5 °C to 2.0 °C
Limiting global mean temperature rise to 1.5 °C is increasingly out of reach. Here we show the impact on global cooling demand in moving from 1.5 °C to 2.0 °C of global warming. African countries have the highest increase in cooling requirements. Switzerland, the United Kingdom and Norway (traditionally unprepared for heat) will suffer the largest relative cooling demand surges. Immediate and unprecedented adaptation interventions are required wo…
Classification and characterization of intra-day load curves of PV and non-PV households using interpretable feature extraction and feature-based clustering
Anthropogenic climate change contribution to wildfire-prone weather conditions in the Cerrado and Arc of deforestation
2015 saw the strongest El Niño event in the historical record, resulting in extreme drought conditions in Brazil. As drought conditions may also lead to greater fire danger, this study uses the 2015 fire in Brazil as a case study to examine whether and to what extent human-induced climate change has contributed to the fire weather conditions in the Cerrado and the southern Amazonia transitional forests known as the Arc of deforestation. Our resul…
A pan-South-America assessment of avoided exposure to dangerous extreme precipitation by limiting to 1.5 °C warming
This study investigates the future changes in dangerous extreme precipitation event in South America, using the multi-model ensemble simulations from the HAPPI experiments. The risks of dangerous extreme precipitation events occurrence, and changes in area and population exposure are quantified. Our results show that the likelihood of dangerous extreme precipitation increases in large parts of South America under future warming; changes in extrem…
Attributing human influence on the July 2017 Chinese heatwave
On21–25 July 2017 a record-breaking heatwave occurred in Central Eastern China, affecting nearly half of the national population and causing severe impacts on public health, agriculture and infrastructure. Here, we compare attribution results from twoUKMet Office Hadley Centre models, HadGEM3-GA6 and weather@home (HadAM3P driving 50 kmHadRM3P). Within HadGEM3-GA6 July 2017-like heatwaves were unequaled in the ensemble representing the world witho…
A comparison of model ensembles for attributing 2012 West African rainfall
In 2012, heavy rainfall resulted in flooding and devastating impacts across West Africa. With many people highly vulnerable to such events in this region, this study investigates whether anthropogenic climate change has influenced such heavy precipitation events. We use a probabilistic event attribution approach to assess the contribution of anthropogenic greenhouse gas emissions, by comparing the probability of such an event occurring in climate…
Attributing human mortality during extreme heat waves to anthropogenic climate change
It has been argued that climate change is the biggest global health threat of the 21st century. The extreme high temperatures of the summer of 2003 were associated with up to seventy thousand excess deaths across Europe. Previous studies have attributed the meteorological event to the human influence on climate, or examined the role of heat waves on human health. Here, for the first time, we explicitly quantify the role of human activity on clima…
Change in cooling degree days with global mean temperature rise increasing from 1.5 °C to 2.0 °C
Limiting global mean temperature rise to 1.5 °C is increasingly out of reach. Here we show the impact on global cooling demand in moving from 1.5 °C to 2.0 °C of global warming. African countries have the highest increase in cooling requirements. Switzerland, the United Kingdom and Norway (traditionally unprepared for heat) will suffer the largest relative cooling demand surges. Immediate and unprecedented adaptation interventions are required wo…
Attributing human mortality during extreme heat waves to anthropogenic climate change
It has been argued that climate change is the biggest global health threat of the 21st century. The extreme high temperatures of the summer of 2003 were associated with up to seventy thousand excess deaths across Europe. Previous studies have attributed the meteorological event to the human influence on climate, or examined the role of heat waves on human health. Here, for the first time, we explicitly quantify the role of human activity on clima…
A comparison of model ensembles for attributing 2012 West African rainfall
In 2012, heavy rainfall resulted in flooding and devastating impacts across West Africa. With many people highly vulnerable to such events in this region, this study investigates whether anthropogenic climate change has influenced such heavy precipitation events. We use a probabilistic event attribution approach to assess the contribution of anthropogenic greenhouse gas emissions, by comparing the probability of such an event occurring in climate…
Attributing human influence on the July 2017 Chinese heatwave
On21–25 July 2017 a record-breaking heatwave occurred in Central Eastern China, affecting nearly half of the national population and causing severe impacts on public health, agriculture and infrastructure. Here, we compare attribution results from twoUKMet Office Hadley Centre models, HadGEM3-GA6 and weather@home (HadAM3P driving 50 kmHadRM3P). Within HadGEM3-GA6 July 2017-like heatwaves were unequaled in the ensemble representing the world witho…
A pan-South-America assessment of avoided exposure to dangerous extreme precipitation by limiting to 1.5 °C warming
This study investigates the future changes in dangerous extreme precipitation event in South America, using the multi-model ensemble simulations from the HAPPI experiments. The risks of dangerous extreme precipitation events occurrence, and changes in area and population exposure are quantified. Our results show that the likelihood of dangerous extreme precipitation increases in large parts of South America under future warming; changes in extrem…
Classification and characterization of intra-day load curves of PV and non-PV households using interpretable feature extraction and feature-based clustering
Anthropogenic climate change contribution to wildfire-prone weather conditions in the Cerrado and Arc of deforestation
2015 saw the strongest El Niño event in the historical record, resulting in extreme drought conditions in Brazil. As drought conditions may also lead to greater fire danger, this study uses the 2015 fire in Brazil as a case study to examine whether and to what extent human-induced climate change has contributed to the fire weather conditions in the Cerrado and the southern Amazonia transitional forests known as the Arc of deforestation. Our resul…
Change in cooling degree days with global mean temperature rise increasing from 1.5 °C to 2.0 °C
Limiting global mean temperature rise to 1.5 °C is increasingly out of reach. Here we show the impact on global cooling demand in moving from 1.5 °C to 2.0 °C of global warming. African countries have the highest increase in cooling requirements. Switzerland, the United Kingdom and Norway (traditionally unprepared for heat) will suffer the largest relative cooling demand surges. Immediate and unprecedented adaptation interventions are required wo…
Climate change (6 works) · Climatology (6 works) · Environmental Science (6 works) · Geography (5 works) · Geology (5 works) · Climate model (3 works) · Climate variability and models (3 works) · Extreme weather (3 works) · Meteorology (3 works) · Oceanography (3 works)