Tamsin Edwards
Datos Biográficos
| ID | 6817574 |
|---|---|
| NOMBRE | Tamsin Edwards |
| NOMBRES | Tamsin |
| APELLIDO | Edwards |
| FIRMA | EDWARDS T |
| AFILIACIONES | University of Bristol |
| ORCID | 0000-0002-4760-4704 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 4 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2012 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
Emulating long-term CMIP6 projections of sterodynamic sea-level change using a three-layer energy balance model
Multi-century projections of sea-level change are crucial for understanding long-term climate impacts. However, projecting ocean dynamic processes affecting sea-level change faces two main challenges: (1) the ocean’s thermal inertia and dynamics can lead to substantial nonlinearities both on a global (thermal expansion) and regional scale (dynamic sea level); and (2) simulating ocean dynamic sea-level change over multiple centuries with global cl…
Communicating probabilistic information from climate model ensembles—lessons from numerical weather prediction
Climate model ensembles are widely heralded for their potential to quantify uncertainties and generate probabilistic climate projections. However, such technical improvements to modeling science will do little to deliver on their ultimate promise of improving climate policymaking and adaptation unless the insights they generate can be effectively communicated to decision makers. While some of these communicative challenges are unique to climate e…
Communicating probabilistic information from climate model ensembles—lessons from numerical weather prediction
Climate model ensembles are widely heralded for their potential to quantify uncertainties and generate probabilistic climate projections. However, such technical improvements to modeling science will do little to deliver on their ultimate promise of improving climate policymaking and adaptation unless the insights they generate can be effectively communicated to decision makers. While some of these communicative challenges are unique to climate e…
Communicating probabilistic information from climate model ensembles—lessons from numerical weather prediction
Climate model ensembles are widely heralded for their potential to quantify uncertainties and generate probabilistic climate projections. However, such technical improvements to modeling science will do little to deliver on their ultimate promise of improving climate policymaking and adaptation unless the insights they generate can be effectively communicated to decision makers. While some of these communicative challenges are unique to climate e…
Emulating long-term CMIP6 projections of sterodynamic sea-level change using a three-layer energy balance model
Multi-century projections of sea-level change are crucial for understanding long-term climate impacts. However, projecting ocean dynamic processes affecting sea-level change faces two main challenges: (1) the ocean’s thermal inertia and dynamics can lead to substantial nonlinearities both on a global (thermal expansion) and regional scale (dynamic sea level); and (2) simulating ocean dynamic sea-level change over multiple centuries with global cl…
Climatology (2 obras) · Environmental Science (2 obras) · Artificial Intelligence (1 obras) · Climate change (1 obras) · Climate Change Communication and Perception (1 obras) · Climate model (1 obras) · Climate variability and models (1 obras) · Computer Science (1 obras) · Data science (1 obras) · Ecology (1 obras)