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Publications Citing Model Archive

The following 75 publications cited the Model Archive project.

YearCitationDataset or Project
2017Adhikari, Pradeep; de Beurs, Kirsten M. (2017) Growth in urban extent and allometric analysis of West African cities.Journal of Land Use Science. 12(42769): 105-124. https://doi.org/10.1080/1747423X.2017.1280550
2017Fuchs, Michael; Awan, Adnan A.; Akhtar, Sardar S.; Ahmad, Ijaz; Sadiq, Simon; Razzak, Asif; Haider, Naghmah (2017) Lithological mapping with multispectral data – setup and application of a spectral database for rocks in the Balakot area, Northern Pakistan.Journal of Mountain Science. 14(5): 948-963. https://doi.org/10.1007/s11629-016-4101-5
2017Hanan, Erin J.;Tague, Christina Naomi;Schimel, Joshua P.; (2017) Nitrogen cycling and export in California chaparral: the role of climate in shaping ecosystem responses to fire.Ecological Monographs. 87(1): 76-90. https://doi.org/10.1002/ecm.1234
2017Huang, Chao; He, Hong S.; Hawbaker, Todd J.; Liang, Yu; Gong, Peng; Wu, Zhiwei; Zhu, Zhiliang (2017) A coupled modeling framework for predicting ecosystem carbon dynamics in boreal forests.Environmental Modelling & Software. 93 332-343. https://doi.org/10.1016/j.envsoft.2017.03.009
2017Khare, Siddhartha; Ghosh, Sanjay Kumar; Latifi, Hooman; Vijay, Saurabh; Dahms, Thorsten (2017) Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data.International Journal of Remote Sensing. 38(15): 4418-4442. https://doi.org/10.1080/01431161.2017.1320450
2017Verma, S.; Marshall, J.; Gerbig, C.; Rödenbeck, C.; Totsche, K. U. (2017) The constraint of CO2 measurements made onboard passenger aircraft on surface–atmosphere fluxes: the impact of transport model errors in vertical mixing.Atmos. Chem. Phys. 17(9): 5665-5675. https://doi.org/10.5194/acp-17-5665-2017
2016Dijak, William D.;Hanberry, Brice B.;Fraser, Jacob S.;He, Hong S.;Wang, Wen J.;Thompson, Frank R.; (2016) Revision and application of the LINKAGES model to simulate forest growth in central hardwood landscapes in response to climate change.Landscape Ecology.. https://doi.org/10.1007/s10980-016-0473-8
2016Dvorett, Daniel;Davis, Craig;Pape?, Monica; (2016) Mapping and Hydrologic Attribution of Temporary Wetlands Using Recurrent Landsat Imagery.Wetlands. 36(3): 431-443. https://doi.org/10.1007/s13157-016-0752-9
2016Fetene, Aramde;Hilker, Thomas;Yeshitela, Kumelachew;Prasse, Ruediger;Cohen, Warren;Yang, Zhiqiang; (2015) Detecting Trends in Landuse and Landcover Change of Nech Sar National Park, Ethiopia.Environmental Management. 57(1): 137-147. https://doi.org/10.1007/s00267-015-0603-0
2016Gizachew, Belachew;Solberg, Svein;Nćsset, Erik;Gobakken, Terje;Bollandsĺs, Ole Martin;Breidenbach, Johannes;Zahabu, Eliakimu;Mauya, Ernest William; (2016) Mapping and estimating the total living biomass and carbon in low-biomass woodlands using Landsat 8 CDR data.Carbon Balance and Management. 11(1):. https://doi.org/10.1186/s13021-016-0055-8
2016Hamzeh, Saeid;Naseri, Abd Ali;AlaviPanah, Seyed Kazem;Bartholomeus, Harm;Herold, Martin; (2016) Assessing the accuracy of hyperspectral and multispectral satellite imagery for categorical and Quantitative mapping of salinity stress in sugarcane fields.International Journal of Applied Earth Observation and Geoinformation. 52 412-421. https://doi.org/10.1016/j.jag.2016.06.024
2016Hidy, Dóra;Barcza, Zoltán;Marjanovi?, Hrvoje;Ostrogovi? Sever, Maša Zorana;Dobor, Laura;Gelybó, Györgyi;Fodor, Nándor;Pintér, Krisztina;Churkina, Galina;Running, Steven;Thornton, Peter;Bellocchi, Gianni;Haszpra, László;Horváth, Ferenc;Suyker, Andrew;Nagy, (2016) Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities.Geoscientific Model Development. 9(12): 4405-4437. https://doi.org/10.5194/gmd-9-4405-2016
2016Jepsen, S. M.;Harmon, T. C.;Shi, Y.; (2016) Watershed model calibration to the base flow recession curve with and without evapotranspiration effects.Water Resources Research. 52(4): 2919-2933. https://doi.org/10.1002/2015WR017827
2016Jin, Wenchi;He, Hong S.;Thompson, Frank R.; (2016) Are more complex physiological models of forest ecosystems better choices for plot and regional predictions?.Environmental Modelling & Software. 75 1-14. https://doi.org/10.1016/j.envsoft.2015.10.004
2016Mantas, Vasco M.;Marques, Joăo Carlos;Pereira, Alcides J.S.C.; (2016) A geospatial approach to monitoring impervious surfaces in watersheds using Landsat data (the Mondego Basin, Portugal as a case study).Ecological Indicators. 71 449-466. https://doi.org/10.1016/j.ecolind.2016.07.013
2016Mitraka, Zina;Del Frate, Fabio;Carbone, Francesco; (2016) Nonlinear Spectral Unmixing of Landsat Imagery for Urban Surface Cover Mapping.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(7): 3340-3350. https://doi.org/10.1109/JSTARS.2016.2522181
2016Molina, Juan;Lugo, Pablo;Arias, Jeraldine;Guaje, Javier;Castro, Harold;Costa, Carlos;Cabrera, Edersson;Sanabria, Mayerling; (2016) Atmospheric correction matching to theoretical forest signature applied to different colombian regions. 1-7. https://doi.org/10.1109/STSIVA.2016.7743313
2016Rasool, Quazi Z.;Zhang, Rui;Lash, Benjamin;Cohan, Daniel S.;Cooter, Ellen J.;Bash, Jesse O.;Lamsal, Lok N.; (2016) Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2.Geoscientific Model Development. 9(9): 3177-3197. https://doi.org/10.5194/gmd-9-3177-2016
2016Sándor, R.;Barcza, Z.;Hidy, D.;Lellei-Kovács, E.;Ma, S.;Bellocchi, G.; (2016) Modelling of grassland fluxes in Europe: Evaluation of two biogeochemical models.Agriculture, Ecosystems & Environment. 215 1-19. https://doi.org/10.1016/j.agee.2015.09.001
2016Valencia, G. M.;Anaya, J. A.;Caro-Lopera, F. J.; (2016) Implementación y evaluación del modelo Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS): estudio de caso en los Andes colombianos.Revista de Teledetección. (46): 83. https://doi.org/10.4995/raet.2016.3582
2016Wang, Wen J.;He, Hong S.;Thompson, Frank R.;Fraser, Jacob S.;Dijak, William D.; (2015) Landscape- and regional-scale shifts in forest composition under climate change in the Central Hardwood Region of the United States.Landscape Ecology. 31(1): 149-163. https://doi.org/10.1007/s10980-015-0294-1
2016Wang, Wen J.;He, Hong S.;Thompson, Frank R.;Fraser, Jacob S.;Dijak, William D.; (2016) Changes in forest biomass and tree species distribution under climate change in the northeastern United States.Landscape Ecology.. https://doi.org/10.1007/s10980-016-0429-z
2016Zipper, Samuel C;Schatz, Jason;Singh, Aditya;Kucharik, Christopher J;Townsend, Philip A;Loheide, Steven P; (2016) Urban heat island impacts on plant phenology: intra-urban variability and response to land cover.Environmental Research Letters. 11(5): 054023. https://doi.org/10.1088/1748-9326/11/5/054023
2015Camarero, J Julio; Franquesa, Magi; Sanguesa-Barreda, Gabriel (2015). Timing of drought triggers distinct growth responses in Holm Oak: Implications to predict warming-induced forest defoliation and growth decline, Forests, 6 (5). https://doi.org/10.3390/f6051576
2015Danelichen, Victor H.M.; Biudes, Marcelo S.; Velasque, Maisa C.S.; Machado, Nadja G.; Gomes, Raphael S.R.; Vourlitis, George L.; Nogueira, Jose S. (2015). Estimating of gross primary production in an Amazon-Cerrado transitional forest using MODIS and Landsat imagery, Anais da Academia Brasileira de Cięncias, 87. https://doi.org/10.1590/0001-3765201520140457
2015Dihkan, Mustafa; Karsli, Fevzi; Guneroglu, Abdulaziz; Guneroglu, Nilgun (2015). Evaluation of surface urban heat island (SUHI) effect on coastal zone: The case of Istanbul Megacity, Ocean & Coastal Management, 118, Part B. https://doi.org/10.1016/j.ocecoaman.2015.03.008
2015Gartner, Philipp; Kleinschmit, Birgit (2015). Monitoring forest recovery with change metrics derived from Landsat time series stacks, 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp),. https://doi.org/10.1109/Multi-Temp.2015.7245807
2015Gebhardt, S.; Maeda, P.; Wehrmann, T.; Argumedo Espinoza, J.; Schmidt, M. (2015). A proper Land Cover and Forest Type Classification Scheme for Mexico, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3. https://doi.org/10.5194/isprsarchives-XL-7-W3-383-2015
2015Guneroglu, Abdulaziz (2015). Coastal changes and land use alteration on Northeastern part of Turkey, Ocean & Coastal Management, 118, Part B. https://doi.org/10.1016/j.ocecoaman.2015.06.019
2015Mitraka, Z.; Del Frate, F.; Carbone, F. (2015). Spectral unmixing of urban Landsat imagery by means of neural networks, 2015 Joint Urban Remote Sensing Event (JURSE),. https://doi.org/10.1109/JURSE.2015.7120463
2015Zhao, Yi; Chen, XinPing; Cui, ZhenLing; Lobell, David B. (2015). Using satellite remote sensing to understand maize yield gaps in the North China Plain, Field Crops Research, 183. https://doi.org/10.1016/j.fcr.2015.07.004
2014Byrd, Kristin B.; OConnell, Jessica L.; Di Tommaso, Stefania and Kelly, Maggi. (2014) Evaluation of sensor types and environmental controls on mapping biomass of coastal marsh emergent vegetation. Remote Sensing of Environment. 149: 166-180. https://doi.org/10.1016/j.rse.2014.04.003
2014Hajj, Mohammad El; Baghdadi, Nicolas; Belaud, Gilles; Zribi, Mehrez; Cheviron, Bruno; Courault, Dominique; Hagolle, Olivier and Charron, François. (2014) Irrigated grassland monitoring using a time series of terraSAR-X and COSMO-skyMed X-Band SAR Data. Remote Sensing. 6(10): 10002-10032. https://doi.org/10.3390/rs61010002
2014Jiang, Dong; Hao, Mengmeng; Fu, Jingying; Wang, Qiao; Huang, Yaohuan and Fu, Xinyu. (2014) Assessment of the GHG Reduction Potential from Energy Crops Using a Combined LCA and Biogeochemical Process Models: A Review. The Scientific World Journal. 2014: 10. https://doi.org/10.1155/2014/537826
2014Keenan, Trevor F.;Gray, Josh;Friedl, Mark A.;Toomey, Michael;Bohrer, Gil;Hollinger, David Y.;Munger, J. William;O’Keefe, John;Schmid, Hans Peter;Wing, Ian Sue;Yang, Bai;Richardson, Andrew D.; (2014) Net carbon uptake has increased through warming-induced changes in temperate forest phenology. Nature Climate Change. 4 (0): 598-604. https://doi.org/10.1038/nclimate2253
2014Lee, Zarraz M.; Schmidt, Thomas M. (2014) Bacterial growth efficiency varies in soils under different land management practices. Soil Biology and Biochemistry. 69: 282-290. https://doi.org/10.1016/j.soilbio.2013.11.012
2014Murdoch, Peter S.;McHale, Michael;Baron, Jill; (2014) Reflections on a Vision for Integrated Research and Monitoring After 15 Years. Aquatic Geochemistry. 20 (2-3): 363-380. https://doi.org/10.1007/s10498-013-9222-7
2014Wilson, Courtney R and Brown, Daniel G. (2014) Change in visible impervious surface area in southeastern Michigan before and after the “Great Recession:” spatial differentiation in remotely sensed land-cover dynamics. Population and Environment. 36(3): 331-355. https://doi.org/10.1007/s11111-014-0219-y
2013Badawy, B.;Rödenbeck, C.;Reichstein, M.;Carvalhais, N.;Heimann, M.; (2013) Technical Note: The Simple Diagnostic Photosynthesis and Respiration Model (SDPRM).Biogeosciences. 10 (10): 6485-6508. https://doi.org/10.5194/bg-10-6485-2013
2013Choi H.I., Liang, Xin-Zhong, Kumar, Praveen.; (2013). A Conjunctive Surface-Subsurface Flow Representation for Mesoscale Land Surface Models. Journal of Hydrometeorology. 14 (5): 1421-1442. https://doi.org/10.1175/JHM-D-12-0168.1
2013Cunha A.P.M.A., Alvalá, Regina C. S., Sampaio, Gilvan, Shimizu, Marília Harumi, Costa, Marcos Heil.; (2013). Calibration and Validation of the Integrated Biosphere Simulator (IBIS) for a Brazilian Semiarid Region. Journal of Applied Meteorology and Climatology. 52 (12): 2753-2770. https://doi.org/10.1175/JAMC-D-12-0190.1
2013Keenan, Trevor F.;Hollinger, David Y.;Bohrer, Gil;Dragoni, Danilo;Munger, J. William;Schmid, Hans Peter;Richardson, Andrew D.; (2013) Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise. Nature. 499 (7458): 324-327. https://doi.org/10.1038/nature12291
2013Laurent O., Wu, Jun, Li, Lianfa, Milesi, Cristina.; (2013) Green spaces and pregnancy outcomes in Southern California. Health & Place. 24 (0): 190-195. https://doi.org/10.1016/j.healthplace.2013.09.016
2013Parece T., Campbell, James.; (2013) Comparing Urban Impervious Surface Identification Using Landsat and High Resolution Aerial Photography. Remote Sensing. 5 (10): 4942-4960. https://doi.org/10.3390/rs5104942
2013Seidl, Rupert;Eastaugh, Chris S.;Kramer, Koen;Maroschek, Michael;Reyer, Christopher;Socha, Jaros?aw;Vacchiano, Giorgio;Zlatanov, Tzvetan;Hasenauer, Hubert; (2013) Scaling issues in forest ecosystem management and how to address them with models. European Journal of Forest Research. 132 (5-6): 653-666. https://doi.org/10.1007/s10342-013-0725-y
2013Stoy, P. C.;Dietze, M. C.;Richardson, A. D.;Vargas, R.;Barr, A. G.;Anderson, R. S.;Arain, M. A.;Baker, I. T.;Black, T. A.;Chen, J. M.;Cook, R. B.;Gough, C. M.;Grant, R. F.;Hollinger, D. Y.;Izaurralde, R. C.;Kucharik, C. J.;Lafleur, P.;Law, B. E.;Liu, S.;L; (2013). Evaluating the agreement between measurements and models of net ecosystem exchange at different times and timescales using wavelet coherence: an example using data from the North American Carbon Program Site-Level Interim Synthesis. Biogeosciences. 10 (11): 6893-6909. https://doi.org/10.5194/bg-10-6893-2013
2013Wilson C.R. (2013) Evaluating Satellite-Observed Changes in Impervious Surface Cover in Relation to Economic Changes and Spatially Variable Socioeconomic Conditions in Census Data in Southeastern Michigan. University of Michigan, Department of Natural Resources and Environment.
2013Wilson C.R. (2013) Evaluating Satellite-Observed Changes in Impervious Surface Cover in Relation to Economic Changes and Spatially Variable Socioeconomic Conditions in Census Data in Southeastern Michigan. University of Michigan, Department of Natural Resources and Environment.
2013Zhang C., Li, Chaofan, Luo, Geping, Chen, Xi.; (2013) Modeling plant structure and its impacts on carbon and water cycles of the Central Asian arid ecosystem in the context of climate change. Ecological Modelling. 267 (0): 158-179. https://doi.org/10.1016/j.ecolmodel.2013.06.008
2012Badawy, B., R_denbeck, C., Reichstein, M., Carvalhais, N., & Heimann, M.; (2012). Technical Note: The Simple Diagnostic Photosynthesis and Respiration Model (SDPRM). Biogeosciences Discussions. 9 (10): 15127.https://doi.org/10.5194/bgd-9-15127-2012
2012Blackledge, J., Coyle, E., McCoy, N., Kearney, D., Sunderland, K., & Woolmington, T.; (2012). Analysis of Wind Velocity and the Quantification of Wind Turbulence in Rural and Urban Environments using the L_vy Index and Fractal Dimension. ISAST Transactions on Computers and Intelligent Systems. 4 (0).
2012Hidy, D., Barcza, Z., Haszpra, L., Churkina, G., Pint_r, K., & Nagy, Z.; (2012). Development of the Biome-BGC model for simulation of managed herbaceous ecosystems. Ecological Modelling. 226 (0): 99-119.https://doi.org/10.1016/j.ecolmodel.2011.11.008
2012Keenan, T. F., Baker, I., Barr, A., Ciais, P., Davis, K., Dietze, M., et al.; (2012). Terrestrial biosphere model performance for inter-annual variability of land-atmosphere CO2 exchange. Global Change Biology. 18 (6): 1971-1987.https://doi.org/10.1111/j.1365-2486.2012.02678.x
2012Muraoka, H., Noda, H. M., Nagai, S., Motoka, T., Saitoh, T. M., Nasahara, K. N., et al.; (2012). Spectral vegetation indices as the indicator of canopy photosynthetic productivity in a deciduous broadleaf forest. Journal of Plant Ecology.https://doi.org/10.1093/jpe/rts037
2012Schaefer, K., Schwalm, C. R., Williams, C., Arain, M. A., Barr, A., Chen, J. M., et al.; (2012). A model-data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research. 117 (G3): G03010. https://doi.org/10.1029/2012JG001960
2011Badawy, B.; (2011). Quantifying carbon processes of the terrestrial biosphere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data. International Max Planck Research School on Earth System Modelling. Ph.D. (Technical Report 21).
2011HU Bo,,SUN Rui,CHEN Yong-jun,FENG Li-chao,SUN Liang; (2011). Estimation of the Net Ecosystem Productivity in Huang-Huai Hai Region Combining with Biome-BGC Model and Remote Sensing Data. Journal of Natural Resources.
2011Rueda Restrepo, J.A., Ciencias Forestales, (2011). Modelacion de la din_mica del carbono en la biomasa del bosque del norte de los Andes usando el modelo CENTURY. Thesis. http://www.bdigital.unal.edu.co/4609/1/98491011._2011.pdf
2011Wang, Yeqiao, ed. (2011) Remoting Sensing of Protected Lands.CRC Press.. ISBN:143984187X,9781439841877
2010Fang, Xiaowen., Chua, Teresita., Schmidt-Rohr, Klaus., Thompson, Michael L.; (2010). Quantitative 13C NMR of whole and fractionated Iowa Mollisols for assessment of organic matter composition. Geochimica et Cosmochimica Acta. 74 (2): 584-598. ISBN: 0016-7. https://doi.org/10.1016/j.gca.2009.10.008
2010Schwalm, Christopher R.;Williams, Christopher A.;Schaefer, Kevin;Anderson, Ryan;Arain, M. Altaf;Baker, Ian;Barr, Alan;Black, T. Andrew;Chen, Guangsheng;Chen, Jing Ming;Ciais, Philippe;Davis, Kenneth J.;Desai, Ankur;Dietze, Michael;Dragoni, Danilo;Fischer,; (2010). A model-data intercomparison of CO2exchange across North America: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research. 115 (G3). https://doi.org/10.1029/2009jg001229
2009Gu, L.; (2009). Aqueous and gaseous nitrogen losses induced by fertilizer application. Lawrence Berkeley Technical Report.http://www.escholarship.org/uc/item/1p49x2bj
2009Scott Goetz, Forrest Melton, Weile Wang, Cristina Milesi, David Theobald; (2009) Modeling Strategies for Adaption to Coupled Climate and Land Use Change in the United States. Proc/ of the World Bank 2009 Marseille Cities and Climate Change Urban Research Symposium, World Bank.. https://nex.nasa.gov/nex/static/media/publication/Goetz_et_2009.pdf
2008Bai, Z. G., Dent, D. L., Olsson, L., Schaepman, M. E.; (2008). Global assessment of land degradation and improvement 1: identification by remote sensing. ISBN: Report 2008.01, ISRIC - World Soil Information.
2008Bruno Locatelli, Hety Herawati, Maria Brockhaus, Monica Idinoba, Markku Kanninen (2008) Methods and Tools for Assessing the Vulnerability of Forests and People to Climate Change.Center for International Forestery Research (CIFOR) and Agricultral Research Center for International Development (CIRAD). Working Paper No. 43. http://www.ibcperu.org/doc/isis/10815.pdf
2008Zhang, Y. Q., Yu, Q., Jiang, J., Tang, Y. H.; (2008). Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau. Global Change Biology. 14 (4): 757-767. ISBN: 1354-1.https://doi.org/10.1111/j.1365-2486.2008.01538.x
2008Zhang, Y., Wang, S., Barr, A. G., Black, T. A.; (2008). Impact of snow cover on soil temperature and its simulation in a boreal aspen forest. Cold Regions Science and Technology. 52 (3): 355-370.https://doi.org/10.1016/j.coldregions.2007.07.001
2007Rokityanskiy, D., P.C. Benitez, F. Kraxner, I. McCallum, M. Obersteiner, E. Rametsteiner, and Y. Yamagata.; (2007). Geographically explicit global modeling of land-use change, carbon sequestration, and biomass supply. Technological Forecasting and Social Change. 74 (7): 1057-1082. https://doi.org/10.1016/j.techfore.2006.05.022
2006Barkley, M.P.; (2006). Comparisons between SCIAMACHY atmospheric CO 2 retrieved using (FSI) WFM-DOAS to ground based FTIR data and the TM3 chemistry transport model. Atmospheric chemistry and physics. 6 (0): 4483-4498.
2006Barkley, M.P.; (2006). Comparisons between SCIAMACHY atmospheric CO 2 retrieved using (FSI) WFM-DOAS to ground based FTIR data and the TM3 chemistry transport model. Atmospheric chemistry and physics. 6 (0): 4483-4498.
2006Cienciala, E., and F.A. Tatarinov.; 2006. Application of BIOME-BGC model to managed forests: 2. Comparison with long-term observations of stand production for major tree species. Forest Ecology and Management. 237 (1-3): 252-266.https://doi.org/10.1016/j.foreco.2006.09.086
2006Tatarinov, F.A., and E. Cienciala.; (2006). Application of BIOME-BGC model to managed forests: 1. Sensitivity analysis. Forest Ecology and Management. 237 (1-3): 267-279. https://doi.org/10.1016/j.foreco.2006.09.085
2001Bugmann, HaraldK M.; Wullschleger, StanD; Price, DavidT; Ogle, Kiona; Clark, DonaldF; Solomon, AllenM; (2001). Comparing the Performance of Forest gap Models in North America. Climatic Change. 51 (3-4): 349-388. https://doi.org/10.1023/A:1012537914881
2001Lu, L.; Pielke Sr, Roger A.; Liston, Glen E.; Parton, William J.; Ojima, Dennis; Hartman, Melannie; (2001). Implementation of a Two-Way Interactive Atmospheric and Ecological Model and Its Application to the Central United States. Journal of Climate. 14 (5): 900. https://doi.org/10.1175/1520-0442(2001)014<0900:IOATWI>2.0.CO;2
2008Soulis, E. D. and F. R. Seglenieks; (2008). The MAGS Integrated Modeling System. Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience: 445-473. https://doi.org/10.1007/978-3-540-75136-6_24