Nathan J. L. Lenssen's research while affiliated with Columbia University and other places
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Publications (2)
The El Niño-Southern Oscillation (ENSO) is the dominant source of seasonal climate predictability. This study quantifies the historical impact of ENSO on seasonal precipitation through an update of the global ENSO teleconnection maps of Mason and Goddard (2001). Many additional teleconnections are detected due to better handling of missing values a...
We outline a new and improved uncertainty analysis for the Goddard Institute for Space Studies Surface Temperature product version 4 (GISTEMP v4). Historical spatial variations in surface temperature anomalies are derived from historical weather station data and ocean data from ships, buoys, and other sensors. Uncertainties arise from measurement u...
Citations
... Precipitation follows a similar behavior in terms of the ACC and SNR, although statistically significant skill is less widespread (Fig. 1d-f). Areas under the influence of El Niño-Southern Oscillation (ENSO; Lenssen et al., 2020) appear as regions with a significant ACC and high SNR. Skillful values are mostly located in the Americas, the Maritime Continent, and Australia. ...
... However, incorporating metadata into the homogenization process of global temperature data sets has proved to be a challenging task. As a result, most global temperature data sets have not yet adopted the use of metadata for homogenization (Menne et al. 2018, Lenssen et al. 2019, Rohde & Hausfather 2020. With the advancements in homogenization theories, methods for homogenizing daily data have been supplemented and improved. ...