Trond Reitan
Trond Reitan
University of Oslo and also Norwegian Water Resources and Energy Adnimistration
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Derivation of a new continuous adjustment function for correcting wind-induced loss of solid precipitation: results of a Norwegian field study
MA Wolff, K Isaksen, A Petersen-Øverleir, K Ødemark, T Reitan, ...
Hydrology and Earth System Sciences 19 (2), 951-967, 2015
Effects of watershed land use and geomorphology on stream low flows during severe drought conditions in the southern Blue Ridge Mountains, Georgia and North Carolina, United States
K Price, CR Jackson, AJ Parker, T Reitan, J Dowd, M Cyterski
Water Resources Research 47 (2), 2011
Measuring system normality
M Burgess, H Haugerud, S Straumsnes, T Reitan
ACM Transactions on Computer Systems (TOCS) 20 (2), 125-160, 2002
Ecological interactions on macroevolutionary time scales: clams and brachiopods are more than ships that pass in the night
LH Liow, T Reitan, PG Harnik
Ecology letters 18 (10), 1030-1039, 2015
A comparison of methods for streamflow uncertainty estimation
JE Kiang, C Gazoorian, H McMillan, G Coxon, J Le Coz, IK Westerberg, ...
Water Resources Research 54 (10), 7149-7176, 2018
Bayesian methods for estimating multi-segment discharge rating curves
T Reitan, A Petersen-Øverleir
Stochastic Environmental Research and Risk Assessment 23, 627-642, 2009
Generalized extreme value shape parameter and its nature for extreme precipitation using long time series and the Bayesian approach
G Ragulina, T Reitan
Hydrological Sciences Journal 62 (6), 863-879, 2017
Bayesian power-law regression with a location parameter, with applications for construction of discharge rating curves
T Reitan, A Petersen-Øverleir
Stochastic Environmental Research and Risk Assessment 22, 351-365, 2008
Objective segmentation in compound rating curves
A Petersen-Øverleir, T Reitan
Journal of Hydrology 311 (1-4), 188-201, 2005
Bayesian rating curve inference as a streamflow data quality assessment tool
A Petersen-Øverleir, A Soot, T Reitan
Water Resources Management 23, 1835-1842, 2009
Do not divide count data with count data; a story from pollination ecology with implications beyond
T Reitan, A Nielsen
PloS one 11 (2), e0149129, 2016
Accounting for rating curve imprecision in flood frequency analysis using likelihood-based methods
A Petersen-Øverleir, T Reitan
Journal of Hydrology 366 (1-4), 89-100, 2009
Effects of competition and climate on a crop pollinator community
A Nielsen, T Reitan, AW Rinvoll, AK Brysting
Agriculture, Ecosystems & Environment 246, 253-260, 2017
Pollinator community responses to the spatial population structure of wild plants: A pan-European approach
A Nielsen, J Dauber, WE Kunin, E Lamborn, B Jauker, M Moora, SG Potts, ...
Basic and Applied Ecology 13 (6), 489-499, 2012
Propagation of rating curve uncertainty in design flood estimation
GH Steinbakk, TL Thorarinsdottir, T Reitan, L Schlichting, S Hølleland, ...
Water Resources Research 52 (9), 6897-6915, 2016
Bayesian analysis of stage–fall–discharge models for gauging stations affected by variable backwater
A Petersen‐Øverleir, T Reitan
Hydrological Processes: An International Journal 23 (21), 3057-3074, 2009
Dynamic rating curve assessment in unstable rivers using Ornstein‐Uhlenbeck processes
T Reitan, A Petersen‐Øverleir
Water Resources Research 47 (2), 2011
Phenotypic evolution studied by layered stochastic differential equations
T Reitan, T Schweder, J Henderiks
The Annals of Applied Statistics, 1531-1551, 2012
Common species link global ecosystems to climate change: dynamical evidence in the planktonic fossil record
B Hannisdal, KA Haaga, T Reitan, D Diego, LH Liow
Proceedings of the Royal Society B: Biological Sciences 284 (1858), 20170722, 2017
Length variation in short tandem repeats affects gene expression in natural populations of Arabidopsis thaliana
WB Reinar, VO Lalun, T Reitan, KS Jakobsen, MA Butenko
The Plant Cell 33 (7), 2221-2234, 2021
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