Aslak Grinsted
Biographic Data
| ID | 7997007 |
|---|---|
| NAME | Aslak Grinsted |
| GIVEN NAMES | Aslak |
| FAMILY NAME | Grinsted |
| SIGNATURE | GRINSTED A |
| AFFILIATIONS | University of Copenhagen |
| ORCID | 0000-0003-1634-6009 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 0 |
Flood damage costs under the sea level rise with warming of 1.5 °C and 2 °C
We estimate a median global sea level rise up to 52 cm (25–87 cm, 5th–95th percentile) and up to 63 cm (27−112 cm, 5th—95th percentile) for a temperature rise of 1.5 °C and 2.0 °C by 2100 respectively. We also estimate global annual flood costs under these scenarios and find the difference of 11 cm global sea level rise in 2100 could result in additional losses of US$ 1.4 trillion per year (0.25% of global GDP) if no additional adaptation is assu…
Upper limit for sea level projections by 2100
We construct the probability density function of global sea level at 2100, estimating that sea level rises larger than 180 cm are less than 5% probable. An upper limit for global sea level rise of 190 cm is assembled by summing the highest estimates of individual sea level rise components simulated by process based models with the RCP8.5 scenario. The agreement between the methods may suggest more confidence than is warranted since large uncertai…
Application of the cross wavelet transform and wavelet coherence to geophysical time series
Many scientists have made use of the wavelet method in analyzing time series, often using popular free software. However, at present there are no similar easy to use wavelet packages for analyzing two time series together. We discuss the cross wavelet transform and wavelet coherence for examining relationships in time frequency space between two time series. We demonstrate how phase angle statistics can be used to gain confidence in causal relati…
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Application of the cross wavelet transform and wavelet coherence to geophysical time series
Many scientists have made use of the wavelet method in analyzing time series, often using popular free software. However, at present there are no similar easy to use wavelet packages for analyzing two time series together. We discuss the cross wavelet transform and wavelet coherence for examining relationships in time frequency space between two time series. We demonstrate how phase angle statistics can be used to gain confidence in causal relati…
Upper limit for sea level projections by 2100
We construct the probability density function of global sea level at 2100, estimating that sea level rises larger than 180 cm are less than 5% probable. An upper limit for global sea level rise of 190 cm is assembled by summing the highest estimates of individual sea level rise components simulated by process based models with the RCP8.5 scenario. The agreement between the methods may suggest more confidence than is warranted since large uncertai…
Flood damage costs under the sea level rise with warming of 1.5 °C and 2 °C
We estimate a median global sea level rise up to 52 cm (25–87 cm, 5th–95th percentile) and up to 63 cm (27−112 cm, 5th—95th percentile) for a temperature rise of 1.5 °C and 2.0 °C by 2100 respectively. We also estimate global annual flood costs under these scenarios and find the difference of 11 cm global sea level rise in 2100 could result in additional losses of US$ 1.4 trillion per year (0.25% of global GDP) if no additional adaptation is assu…
Mathematics (3 works) · Statistics (3 works) · Climate change (2 works) · Climate variability and models (2 works) · Climatology (2 works) · Environmental Science (2 works) · Geology (2 works) · Geophysics and Gravity Measurements (2 works) · Oceanography (2 works) · Sea level (2 works)