Moelders has published more than 100 papers in peer-reviewed journals and two books.
Books • Mölders, N., Kramm, G., 2014. Lectures in Meteorology. Springer, 591 pp. • Mölders, N., 2011: Land-Use and Land-Cover Changes: Impact on Climate and Air Quality. Springer, 210 pp.
Papers • Mölders, N., Fochesatto, J., Edwin, S.G., Kramm, G., 2019: Geothermal, oceanic, wildfire, meteorological and anthropogenic impacts on PM 2.5 concentrations in the Fairbanks Metropolitan Area. Open Journal of Air Pollution.
Open Journal of Air Pollution,
8, 19-68. • Mölders, N., Kramm, G., 2018: Climatology of Air Quality in Arctic Cities—Inventory and Assessment.
Open Journal of Air Pollution,
7, 48-93. • Kramm, G., Dlugi, R., Mölders, N., 2017: Using Earth's Moon as a testbed for quantifying the effect of the terrestrial atmosphere.
Natural Science,
9, 251-288. • Mölders, N., Khordakova, D., Dlugi, R., Kramm, G., 2016: Sustainability of wind energy under changing wind regimes — A case study.
Atmospheric and Climate Sciences,
6, 158-173. • Kramm, G., Sellhorst, G., Ross, H.K., Cooney, J., Dlugi, R., Mölders, N., 2016: On the maximum of wind power efficiency.
Journal of Power and Energy Engineering,
4, 1-39. • Mölders, N., Butwin, M.K., Madden, J.M., Tran, H.N.Q., Sassen, K., Kramm, G., 2015: Theoretical investigations on mapping mean distributions of particulate matter, inert, reactive, and secondary pollutants from wildfires by unmanned air vehicles (UAVs).
Open Journal of Air Pollution,
4, 149-174. • Mölders, N., Khordakova, D., Gende, S., Kramm, G., 2015: Uncertainty of wind power usage in complex terrain – a case study.
Atmospheric and Climate Sciences,
5, 228-244. • Mölders, N., Bruyère, C.L., Gende, S., Pirhalla, M.A., 2014: Assessment of the 2006-2012 climatological fields and mesoscale features from regional downscaling of CESM data by WRF-Chem over Southeast Alaska.
Atmospheric and Climate Sciences,
4, 589-613. • Mölders, N., 2013: Investigations on the impact of single direct and indirect, and multiple emission-control measures on cold-season near-surface PM2.5 concentrations in Fairbanks, Alaska.
Atmos. Poll. Res.,
4, 87-100, doi: 10.5094/APR.2013.009. • Mölders, N., Tran, H.N.Q., Cahill, C.F., Leelasakultum, K., Tran, T.T., 2012: Assessment of WRF/Chem PM2.5-forecasts using mobile and fixed location data from the Fairbanks, Alaska winter 2008/09 field campaign.
Atmos. Pol. Res.,
3, doi: 10.5094/APR.2012.018. • Mölders, N., Porter, S.E., Cahill, C.F., Grell, G.A., 2010: Influence of ship emissions on air quality and input of contaminants in southern Alaska National Parks and Wilderness Areas during the 2006 tourist season.
Atmos. Environ.,
44, 1400-1413. • Mölders, N., Kramm, G., 2010. A case study on wintertime inversions in Interior Alaska with WRF.
Atmos. Res.,
95, 314-332, • PaiMazumder, D., Miller, J., Li, Z., Walsh, J.E., Etringer, A., McCreight, J., Zhang, T., Mölders, N., 2008. Evaluation of
Community Climate System Model soil temperatures using observations from Russia.
Theor. Appl. Climatol.,
94, 187-213. • Mölders, N., 2008. Suitability of the Weather Research and Forecasting (WRF) model to predict the June 2005 fire weather for Interior Alaska.
Weather Forecast.,
23, 953-973. • Li, Z., Mölders, N., 2008. Interaction of impacts of doubling CO2 and changing regional land-cover on evaporation, precipitation, and runoff at global and regional scales.
Int. J. Climatol,
28, 1653–1679. • Mölders, N., Kramm, G., 2007. Influence of wildfire induced land-cover changes on clouds and precipitation in Interior Alaska - A case study.
Atmospheric Research,
84, 142-168. • Narapusetty, B., Mölders, N., 2006. Evaluation of the soil module of HTSVS by observations and a theoretically advanced numerical scheme.
Mon. Wea. Rev.,
134, 2927-2942. • Mölders, N., Walsh, J.E., 2004. Atmospheric response to soil-frost and snow in Alaska in March.
Theor. Appl. Climat. 77, 77-105. • Mölders, N., Haferkorn, U., Döring, J., Kramm, G., 2003. Long-term numerical investigations on the water budget quantities predicted by the hydro-thermodynamic soil vegetation scheme (HTSVS) - Part I: Description of the model and impact of long-wave radiation, roots, snow, and soil frost.
Meteor. Atmos. Phys.,
84, 115-135. • Mölders, N., Rühaak, W., 2002. On the impact of explicitly predicted runoff on the simulated atmospheric response to small-scale land-use changes - An integrated modeling approach.
Atmospheric Research,
63, 3-38. • Mölders, N., 2001. On the uncertainty in mesoscale modeling caused by surface parameters.
Meteor. Atmos. Phys.,
76, 119-141. • Mölders, N., 2000. Application of the principle of superposition to detect nonlinearity in the short-term atmospheric response to concurrent land-use changes associated with future landscapes.
Meteor. Atmos. Phys.,
72, 47-68. • Mölders, N., 1999. On the atmospheric response to urbanization and open-pit mining under various geostrophic wind conditions.
Meteor. Atmos. Phys.,
71, 205-228. • Mölders, N., 1998. Landscape changes over a region in East Germany and their impact upon the processes of its atmospheric water-cycle.
Meteor. Atmos. Phys.,
68, 79-98. • Mölders, N., Raabe, A., 1997. Testing the effect of a two-way-coupling of a meteorological and a hydrologic model on the predicted local weather.
Atmospheric Research,
45,81-108. • Mölders, N., Raabe, A., Tetzlaff, G., 1996. A comparison of two strategies on land surface heterogeneity used in a mesoscale beta meteorological model.
Tellus,
48A, 733-749. • Mölders, N., Laube, M., Kramm, G., 1995. On the parameterization of ice microphysics in a mesoscale alpha weather forecast model.
Atmospheric Research,
38, 207-235. • Mölders, N., Hass, H., Jakobs, H.J., Laube, M., Ebel, A., 1994. Some effects of different cloud parameterizations in a mesoscale model and a chemistry transport model.
J. Appl. Meteorol.,
33, 527-545. ==Personal life==