Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nadja Herger"'
Publikováno v:
2021 International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e669ac795fae7b4cce261aaa92e306ed
https://doi.org/10.1109/icdmw53433.2021.00086
https://doi.org/10.1109/icdmw53433.2021.00086
Publikováno v:
CHI Extended Abstracts
This study tested two different approaches for adding an explainability feature to the implementation of a legal text summarization solution based on a Deep Learning (DL) model. Both approaches aimed to show the reviewers where the summary originated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcf733e5e5797e44ed31afa2e0e52c35
https://doi.org/10.1145/3411763.3443441
https://doi.org/10.1145/3411763.3443441
Publikováno v:
Journal of Geophysical Research: Atmospheres, vol 123, iss 11
Author(s): Herger, N; Angelil, O; Abramowitz, G; Donat, M; Stone, D; Lehmann, K | Abstract: Climate models serve as indispensable tools to investigate the effect of anthropogenic emissions on current and future climate, including extremes. However, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26f05dd2a852960447dbaf7ed92e2c32
https://doi.org/10.1029/2018jd028549
https://doi.org/10.1029/2018jd028549
Autor:
Nadja Herger, Anna M. Ukkola, Andrew J. Pitman, Gab Abramowitz, M. G. De Kauwe, Jason P. Evans, Mark Decker
Publikováno v:
Journal of Hydrometeorology. 19:969-988
Global climate models play an important role in quantifying past and projecting future changes in drought. Previous studies have pointed to shortcomings in these models for simulating droughts, but systematic evaluation of their level of agreement ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caa0691bd3d59df1dee52a2df5adade0
https://doi.org/10.1175/jhm-d-17-0099.1
https://doi.org/10.1175/jhm-d-17-0099.1
Autor:
Gab Abramowitz, Benjamin M. Sanderson, Nadja Herger, Oliver Angélil, Karsten Lehmann, Reto Knutti
Publikováno v:
Earth System Dynamics
Earth System Dynamics, 9 (1)
Earth System Dynamics, Vol 9, Pp 135-151 (2018)
Earth System Dynamics, 9 (1)
Earth System Dynamics, Vol 9, Pp 135-151 (2018)
End-users studying impacts and risks caused by human-induced climate change are often presented with large multi-model ensembles of climate projections whose composition and size are arbitrarily determined. An efficient and versatile method that find
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75c02d2499c71d0689cf423a5e646694
https://doi.org/10.5194/esd-9-135-2018
https://doi.org/10.5194/esd-9-135-2018
Autor:
Dorit Hammerling, Gavin A. Schmidt, Reto Knutti, Ruth Lorenz, Nadja Herger, Martin Leduc, Gab Abramowitz, Ethan Gutmann, Robert Pincus
The rationale for using multi-model ensembles in climate change projections and impacts research is often based on the expectation that different models constitute independent estimates, so that a range of models allows a better characterisation of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d32e0c6b2f2213f89543e8071d1fe604
https://doi.org/10.5194/esd-2018-51
https://doi.org/10.5194/esd-2018-51
Publikováno v:
Geophysical Research Letters. 42:3486-3494
Pattern scaling is a simple way to produce climate projections beyond the scenarios run with expensive global climate models (GCMs). The simplest technique has known limitations and assumes that a spatial climate anomaly pattern obtained from a GCM c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::476ddb217438ae13ba9d7fca043a4aa6
https://doi.org/10.1002/2015gl063569
https://doi.org/10.1002/2015gl063569
Autor:
Trude Storelvmo, Nadja Herger
Publikováno v:
Journal of Geophysical Research: Atmospheres. 119:2375-2389
Due to their net warming effect, cirrus clouds play a crucial role in the climate system. A recently proposed climate engineering mechanism (CEM) intends to reduce high cloud cover by seeding cirrus clouds with efficient ice nuclei (IN) and therefore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35bd6226aac3295ee47e2e00d96c05d3
https://doi.org/10.1002/2013jd020816
https://doi.org/10.1002/2013jd020816
Publikováno v:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol 372, iss 2031
Storelvmo, T; Boos, WR; & Herger, N. (2014). Cirrus cloud seeding: a climate engineering mechanism with reduced side effects?. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 372(2031), 20140116-20140116. doi: 10.1098/rsta.2014.0116. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/273656wm
Storelvmo, T; Boos, WR; & Herger, N. (2014). Cirrus cloud seeding: a climate engineering mechanism with reduced side effects?. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 372(2031), 20140116-20140116. doi: 10.1098/rsta.2014.0116. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/273656wm
© 2014 The Author(s) Published by the Royal Society. All rights reserved. Climate engineering, the intentional alteration of Earth's climate, is a multifaceted and controversial topic. Numerous climate engineering mechanisms (CEMs) have been propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c5a451f4994630b6ad3a0f7c1ddce2b
https://pubmed.ncbi.nlm.nih.gov/25404685
https://pubmed.ncbi.nlm.nih.gov/25404685
Autor:
Steven C. Sherwood, Oliver Angélil, Reto Knutti, Gab Abramowitz, Nadja Herger, Scott A. Sisson
Publikováno v:
Climate Dynamics, 53 (3-4)
Climate Dynamics
Climate Dynamics
Future climate is typically projected using multi-model ensembles, but the ensemble mean is unlikely to be optimal if models’ skill at reproducing historical climate is not considered. Moreover, individual climate models are not independent. Here,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f23622c9e9171de2670eadc9917ccf27