Publications
Submitted or in Preparation
N. Lenssen, G. A. Schmidt, J. E. Hansen, M. Hendrickson, M. Menne, R. Ruedy (in prep), “A GISTEMPv4 Observational Uncertainty Ensemble: Regional and Monthly Uncertainty”
P. Jacobs, N. Lenssen, G. A. Schmidt, R. A. Rohde, M. Hendrickson (in prep) “The Arctic Is Now Warming Four Times As Fast As the Rest of the Globe”
Peer Reviewed
K. Schwarzwald, N. Lenssen (2022) “The Importance of Internal Climate Variability in Climate Impact Projections” Proceedings of the National Academy of Sciences. DOI: 10.1073/pnas.2208095119, EarthArXiV final Proof (OPEN ACCESS)
N. Lenssen, L. Goddard, and S. Mason (2020), “Seasonal Forecast Skill of ENSO Teleconnection Maps” Weather and Forecasting. DOI: 10.1175/WAF-D-19-0235.1
N. Lenssen, G. A. Schmidt, J. E. Hansen, M. Menne, R. Ruedy, A. Persin, and D. Zyss (2019), “Improvements in the Uncertainty Model in the Goddard Institute for Space Studies Surface Temperature (GISTEMP) analysis” JGR Atmospheres. DOI: 10.1029/2018JD029522
- Fifth-most cited article in JGR of articles published 2016–2020
- Cited in IPCC AR6 WGI Chapters 2, 3, and 10
N. Lenssen, A. Hannart, and D. Hammerling (2018), “Simulation Testbed for Trend Detection and Attribution Methods” NCAR Technical Note. DOI: 10.26024/xfmm-hj36
N. Lenssen, D. Nychka, D. Hammerling, and S. A. McGinnis (2016), “A Tutorial for Using ‘Rmpi’ on the NCAR/Wyoming Supercomputer” NCAR Technical Note. DOI: 10.5065/D6X63K5S
N. Lenssen, D. Needell (2014), “An Introduction to Fourier Analysis with Applications to Music” Journal of Humanistic Mathematics. DOI: 10.5642/jhummath.201401.05
Other publications
N. Lenssen & National Center for Atmospheric Research Staff (Editors) (2020) “The Climate Data Guide: Global surface temperature data: GISTEMP: NASA Goddard Institute for Space Studies (GISS) Surface Temperature Analysis.”
N. Lenssen (2013), “Applications of Fourier Analysis to Audio Signal Processing: An Investigation of Chord Detection Algorithms” CMC Senior Theses. Paper 704. http://scholarship.claremont.edu/cmc_theses/704
N. Lenssen (2013), “Fundamental Limits of Detection in the Near and Mid Infrared” CMC Senior Theses. Paper 800. http://scholarship.claremont.edu/cmc_theses/800
Conference Presentations
* indicates presenting author(s)
N. Lenssen, K. Schwarzwald* (2021) “Uncertainty in Climate Impacts Projections due to Model Internal Variability” Presentation at the AGU Fall Meeting
P. Jacobs*, N. Lenssen, G. A. Schmidt, R. A. Rohde (2021) “The Arctic Is Now Warming Four Times As Fast As the Rest of the Globe” Presentation at the AGU Fall Meeting
N. Lenssen*, L. Goddard, Y. Kushnir, S. Mason (2021) “Initialized and Uninitialized ENSO Predictability in Year 2” Poster at the NOAA Climate Diagnostics and Prediction Workshop
J. Jonas, M. Kelley, N. Lenssen, R. Miller*, L. Nazarenko, C. Orbe*, D. Rind, A. Romanou, G. Russell, G. Schmidt (2021), “Overview of predictability using GISS ModelE” Presentation at the US Climate Modeling Summit Workshop
N. Lenssen*, L. Goddard, S. Mason (2020), “Seasonal Forecast Skill of ENSO Teleconnection Maps” Presentation at the International Verification Methods Workshop
N. Lenssen*, G. A. Schmidt, J. E. Hansen, et al. (2019), “Improvements in the GISTMP Uncertainty Model” Presentation at the AGU Fall Meeting
N. Lenssen*, L. Goddard, S. Mason (2019), “Revisiting the Climatology Reference in Seasonal Forecasting of Precipitation” Presentation at the International Meetings on Statistical Climatology
N. Lenssen*, G. A. Schmidt, J. E. Hansen, et al. (2019), “Improvements in the Uncertainty Model in the Goddard Institute for Space Studies Surface Temperature (GISTEMP) Analysis” Presentation at the International Meetings on Statistical Climatology
N. Lenssen*, L. Goddard, S. Mason (2018), “Communication of ENSO-Related Precipitation Anomalies to Resource Constrained Decision-Makers” Poster at the AGU Fall Meeting
N. Lenssen*, A. Hannart, D. Hammerling (2018), “Tunable Testbed for Detection and Attribution Methods” Invited Presentation at the Statistical and Applied Mathematical Sciences Institute (SAMSI) Program on Mathematical and Statistical Methods for Climate and the Earth System (CLIM) Transition Workshop
N. Lenssen*, A. Hannart, D. Hammerling (2018), “Tunable Testbed for Detection and Attribution Methods” Presentation at the International Detection and Attribution Group Workshop
D. Hammerling*, N. Lenssen, D. Nychka, S. R. Sain (2014), “NCAR Supercomputing for Multi-Resolution Gaussian Process Modeling” Invited Poster at the Joint Statistical Meetings