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Tihomir Kostadinov

Tihomir Kostadinov profile picture
Associate Professor of Geography CHABSS Liberal Studies
(760) 750-8226 Social and Behavioral Science Building 4225

About Tihomir Kostadinov

Welcome! My teaching and research interests are in Oceanography, Earth System Science, Climate Science, Remote Sensing, Snow Science, Environmental Geography, and related areas. For details, browse through the various sections (below and linked on the left).

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PhD, Marine Science
UC Santa Barbara, 2009

MA, Geography
UC Santa Barbara, 2005

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I am a broadly trained quantitative Earth System scientist, interested in various topics of Oceanography, Remote Sensing/GIS and Environmental Geography. My main expertise is in marine bio-optics and ocean color remote sensing. I work on satellite algorithm development that aims to improve our understanding of ocean ecosystems and biogeography. I also conduct research in snow remote sensing in conifer forests. Water and remote sensing are common unifying themes of my research. A third line of research I pursue is related to Earth’s orbital cycles that affect climate (Milankovitch cycles) and related astronomical visualizations. I also have interests in related disciplines, e.g. physical basis of climate and climate change, paleoclimatology, botany and plant systematics (focusing on trees), forest ecology & vegetation remote sensing, and positional astronomy. My research makes heavy use of scientific computing, modeling, and data processing and visualization; I am interested in scientific and technical computing per se.

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GEOG 110: Introduction to Physical Geography
GEOG 210: Introduction to Oceanography
GEOG 311: Earth: The Habitable Planet

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Peer-reviewed publications: (* - student co-author)

Kostadinov, T. S., Robertson Lain, L., Kong, C. E., Zhang, X., Maritorena, S., Bernard, S., Loisel, H., Jorge, D. S. F., Kochetkova, E., Roy, S., Jonsson, B., Martinez-Vicente, V., and Sathyendranath, S. (2023). Ocean color algorithm for the retrieval of the particle size distribution and carbon-based phytoplankton size classes using a two-component coated-sphere backscattering model, Ocean Sci., 19, 703–727. 

Brewin, R. J. W., Sathyendranath, S., Kulk, G., Rio, M.-H., Concha, J. A., Bell, T. G., Bracher, A., Fichot, C., Frölicher, T. L., Galí, M., Hansell, D. A., Kostadinov, T. S., Mitchell, C., Neeley, A. R., Organelli, E., Richardson, K., Rousseaux, C., Shen, F., Stramski, D., … Woolf, D. K. (55 total co-authors) (2023). Ocean carbon from space: Current status and priorities for the next decade. Earth-Science Reviews, 104386.

Safa, H., Krogh, S. A., Greenberg, J., Kostadinov, T. S., & Harpold, A. A. (2021). Unraveling the controls on snow disappearance in montane conifer forests using multi-site lidar, Water Resources Research, 57, e2020WR027522. 

Muhuri A., S. Gascoin, L. Menzel, T.S. Kostadinov, A. Harpold, A. Sanmiguel-Vallelado, J.I. Lopez Moreno (2021), Performance Assessment of Optical Satellite Based Operational Snow Cover Monitoring Algorithms in Forested Landscapes, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 

Brewin, R. J.W., S. Sathyendranath, T. Platt, H. Bouman, S. Ciavatta, G. Dall'Olmo, J. Dingle, S. Groom, B. Jönsson, T. S. Kostadinov, G. Kulk, M. Laine, V. Martínez-Vicente, S. Psarra, D. E. Raitsos, K.  Richardson, MH. Rio, C. S. Rousseaux, J. Salisbury, J.D. Shutler, P. Walker (2021), Sensing the ocean biological carbon pump from space: A review of capabilities, concepts, research gaps and future developments, Earth-Science Reviews, 217. 

Pestana, S., Chickadel, C. C., Harpold, A., Kostadinov, T. S., Pai, H., Tyler, S., Webster, C., and Lundquist, J.D. (2019), Bias correction of airborne thermal infrared observations over forests using melting snow. Water Resources Research, 55, 11,331-11,343. 

P. Sharma*, A. Singh, I. Marinov and T. Kostadinov (2019), Contrasting ENSO types with satellite derived ocean phytoplankton biomass in the Tropical Pacific, Geophysical Research Letters, 46. 

P. Sharma*, I. Marinov, A. Cabre, T. Kostadinov and A. Singh (2019), Increasing biomass in the warm oceans: Unexpected new insights from SeaWiFS, Geophysical Research Letters, 46.  

Kostadinov, T.S., R. Schumer, M. Hausner, K. J. Bormann, R. Gaffney, K. McGwire, T. H. PainterS.Tyler and A.A. Harpold (2019), Watershed‐Scale Mapping of Fractional Snow Cover Under Conifer Forest Canopy Using Lidar, Remote Sensing of Environment, 222, 34–49,  

Martínez-Vicente V, Evers-King H, Roy S, Kostadinov T.S., Tarran GA, Graff JR, Brewin RJW, Dall’Olmo G, Jackson T, Hickman A, Röttgers R, Krasemann H, Marañón E, Platt T and Sathyendranath S (2017), Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean. Front. Mar. Sci. 4:378.  

Evers-King, H., V. Martinez-Vicente, V., R. J. W. Brewin, G. Dall’Olmo, A. Hickman, T. Jackson, T. S. Kostadinov, H. Krasemann, H. Loisel, R. Rottgers, S. Roy, D. Stramski, S. Thomalla, T. Platt, S. Sathyendranath (2017), Validation and intercomparison of ocean color algorithms for estimating particulate organic carbon in the oceans, Front. Mar. Sci. 4:251,

Mouw CB, Hardman-Mountford NJ, Alvain S, Bracher A, Brewin RJW, Bricaud A, Ciotti AM, Devred E, Fujiwara A, Hirata T, Hirawake T, Kostadinov T.S., Roy S and Uitz J (2017), A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean, Front. Mar. Sci., 4:41,

Kostadinov, T.S., A. Cabré, H. Vedantham, I. Marinov, A. Bracher, R. Brewin, A. Bricaud, T. Hirata, T. Hirawake, N. Hardman-Mountford, C. Mouw, S. Roy and J. Uitz (2017), Inter-Comparison of Phytoplankton Functional Types Derived from Ocean Color Algorithms and Earth System Models: Phenology, Remote Sensing of Environment, 190, 

Cabré A., D. Shields*, I. Marinov and T.S. Kostadinov (2016), Phenology of size-partitioned phytoplankton carbon-biomass from ocean color remote sensing and CMIP5 models, Front. Mar. Sci., 3:39, 

Kostadinov, T. S., Milutinović, S., Marinov, I., and Cabré, A. (2016), Carbon-based phytoplankton size classes retrieved via ocean color estimates of the particle size distribution, Ocean Sci., 12, 561-575,

Kostadinov, T. S. and T. R. Lookingbill (2015), Snow cover variability in a forest ecotone of the Oregon Cascades via MODIS Terra products, Remote Sensing of Environment, 164C, pp. 155-169,

Kostadinov, T. S. and R. Gilb* (2014), Earth Orbit v2.1: a 3-D visualization and analysis model of Earth's orbit, Milankovitch cycles and insolation, Geosci. Model Dev., 7, 1051–1068; 

Kostadinov, T.S., D.A. Siegel, S. Maritorena, and N. Guillocheau (2012), Optical assessment of particle size and composition in the Santa Barbara Channel, California, Applied Optics, 51, 3171-3189,

Swan, C.M., N.B. Nelson, D.A. Siegel, and T.S. Kostadinov (2012), The effect of surface irradiance on the absorption spectrum of chromophoric dissolved organic matter in the global ocean, Deep Sea Research I, 63, 52-64,

Antoine, D., D.A. Siegel, T.S. Kostadinov, S. Maritorena, N.B. Nelson, B. Gentili, V. Vellucci, and N. Guillocheau (2011), Variability in optical particle backscattering in contrasting bio-optical oceanic regimes, Limnology & Oceanography, 56(3), 955-973,

Kostadinov, T.S., D.A. Siegel, and S. Maritorena (2010), Global variability of phytoplankton functional types from space: assessment via the particle size distribution, Biogeosciences, 7, 3239-3257,

Kostadinov, T.S., D.A. Siegel, and S. Maritorena (2009), Retrieval of the particle size distribution from satellite ocean color observations, J. Geophys. Res., 114, C09015,

Kostadinov, T.S., D.A. Siegel, S. Maritorena, and N. Guillocheau (2007), Ocean color observations and modeling for an optically complex site: Santa Barbara Channel, California, USA, J. Geophys. Res., 112, C07011,

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