Here, you can find a chronological list of all peer-reviewed journal publications that have been (co-)authored by CLIMERS group members. People that have been employed at CLIMERS at the time of publication are marked in bold font. 

Key publications of the group

  1. Bueechi, E., Fischer, M., Crocetti, L., Trnka, M., Grlj, A., Zappa, L., & Dorigo, W. (2023). Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe droughtAgricultural and Forest Meteorology, 340, 109596.

  2. Crocetti, L., Forkel, M., Fischer, M., Jurecka, F., Grlj, A., Salentining, A., Trnka, M., Anderson, M., Ng, W.-T., Kokalj, Z., Bucur, A., & Dorigo, W. (2020). Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions. Regional Environmental Change, 20(123), 123.

  3. Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, P. D., Hirschi, M., Ikonen, J., de Jeu, R., Kidd, R., Lahoz, W., Liu, Y. Y., Miralles, D., Mistelbauer, T., Nicolai-Shaw, N., Parinussa, R., Pratola, C., Reimer, C., van der Schalie, R., Seneviratne, S. I., Smolander, T., & Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. Remote Sensing of Environment, Earth Observation of Essential Climate Variables, 203, 185–215.

  4. Forkel, M., Andela, N., Harrison, S. P., Lasslop, G., Marle, M. van, Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., & Arneth, A. (2019). Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models. Biogeosciences, 16, 57–76.

  5. Gruber, A., De Lannoy, G., Albergel, C., Al-Yaari, A., Brocca, L., Calvet, J.-C., Colliander, A., Cosh, M., Crow, W., Dorigo, W., Draper, C., Hirschi, M., Kerr, Y., Konings, A., Lahoz, W., McColl, K., Montzka, C., Muñoz-Sabater, J., Peng, J., Reichle, R., Richaume, P., Rüdiger, C., Scanlon, T., van der Schalie, R., Wigneron, J.-P., & Wagner, W. (2020). Validation practices for satellite soil moisture retrievals: What are (the) errors? Remote Sensing of Environment, 244.

  6. Dorigo, W., Himmelbauer, I., Aberer, D., Schremmer, L., Petrakovic, I., Zappa, L., Preimesberger, W., Xaver, A., Annor, F., Ardö, J., Baldocchi, D., Bitelli, M., Blöschl, G., Bogena, H., Brocca, L., Calvet, J.-C., Camarero, J. J., Capello, G., Choi, M., Cosh, M. C., van de Giesen, N., Hajdu, I., Ikonen, J., Jensen, K. H., Kanniah, K. D., de Kat, I., Kirchengast, G., Rai, P. K., Kyrouac, J., Larson, K., Liu, S., Loew, A., Moghaddam, M., Martínez Fernández, J., Mattar Bader, C., Morbidelli, R., Musial, J. P., Osenga, E., Palecki, M. A., Pellarin, T., Petropoulos, G. P., Pfeil, I., Powers, J., Robock, A., Rüdiger, C., Rummel, U., Strobel, M., Su, Z., Sullivan, R., Tagesson, T., Varlagin, A., Vreugdenhil, M., Walker, J., Wen, J., Wenger, F., Wigneron, J. P., Woods, M., Yang, K., Zeng, Y., Zhang, X., Zreda, M., Dietrich, S., Gruber, A., van Oevelen, P., Wagner, W., Scipal, K., Drusch, M., & Sabia, R. (2021). The International Soil Moisture Network: serving Earth system science for over a decade. Hydrology and Earth System Sciences, 25, 5749-5804.

  7. Moesinger, L., Dorigo, W., Jeu, R. de, Schalie, R. van der, Scanlon, T., Teubner, I., & Forkel, M. (2020). The Global Long-term Microwave Vegetation Optical Depth Climate Archive (VODCA). Earth System Science Data, 12, 177–196.

  8. Mukunga, T., Forkel, M., Forrest, M., Zotta, R.-M., Pande, N., Schlaffer, S., & Dorigo, W. (2023). Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence. Fire, 6, 197.

  9. Pasik, A., Gruber, A., Preimesberger, W., De Santis, D., & Dorigo, W. (2023). Uncertainty estimation for a new exponential filter-based long-term root-zone soil moisture dataset from C3S surface observations. Geoscientific Model Development, 16, 4957–4976.

  10. Preimesberger, W., Scanlon, T., Su, C., Gruber, A., & Dorigo, W. (2021). Homogenization of structural breaks in the global ESA CCI Soil Moisture multisatellite climate data record. IEEE Transactions on Geoscience and Remote Sensing, 59(4), 2845-2862.

  11. Scanlon, T., van der Schalie, R., Preimesberger, W., Reimer, C., Hahn, S., Gruber, A., Kidd, R., de Jeu, R.A.M., & Dorigo, W. A. (2019). Global Climate Soil Moisture [in "State of the Climate in 2018"]. Bulletin of the American Meteorological Society, 100(9), 38-39.

  12. Teubner, I. E., Forkel, M., Camps-Valls, G., Jung, M., Miralles, D. G., Tramontana, G., van der Schalie, R., Vreugdenhil, M., Mösinger, L., & Dorigo, W. A. (2019). A carbon sink-driven approach to estimate gross primary production from microwave satellite observations. Remote Sensing of Environment, 229, 100–113.

  13. Wild, B., Teubner, I., Moesinger, L., Zotta, R.-M., Forkel, M., van der Schalie, R., Sitch, S., & Dorigo, W. (2022). VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing. Earth System Science Data, 14, 1063–1085.

  14. Xaver, A., Zappa, L., Rab, G., Pfeil, I., Vreugdenhil, M., Hemment, D., & Dorigo, W. (2020). Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications. Geoscientific Instrumentation, Methods and Data Systems, 9, 117–139.

  15. Zappa, L., Schlaffer, S., Bauer-Marschallinger, B., Nendel, C., Zimmermann, B., & Dorigo, W. (2021). Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture. Remote Sensing, 13(9), 1727.

  16. Zaussinger, F., Dorigo, W., Gruber, A., Tarpanelli, A., Filippucci, P., & Brocca, L. (2019). Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data. Hydrology and Earth System Sciences, 23, 897–923.

Preprints and papers in open discussion

  1. Zotta, R.-M., Moesinger, L., van der Schalie, R., Vreugdenhil, M., Preimesberger, W., Frederikse, T., de Jeu, R., & Dorigo, W. (2024). VODCA v2: Multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring, Earth System Science Data Discussions (preprint), in review.

  2. Hirschi, M., Crezee, B., Stradiotti, P., Dorigo, W., & Seneviratne, S. I. (2023). Characterising recent drought events in the context of dry-season trends using state-of-the-art reanalysis and remote-sensing soil moisture products. EGUsphere (preprint), in review.

  3. Wagner, W., Lindorfer, R. Hahn, S., Kim, H. Vreugdenhil, M., Gruber, A., Fischer, M., & Trnka, M. (2023). Global Scale Mapping of Subsurface Scattering Signals Impacting ASCAT Soil Moisture Retrievals. TechRxiv (preprint), in review.

2024

  1. Bathiany, S., Bastiaansen, R., Bastos, A., Blaschke, L., Lever, J., Loriani, S., De Keersmaecker, W., Dorigo, W., Milenković, M., Senf, C., Smith, T., Verbesselt, J., & Boers, N. (2024). Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook. Surveys in Geophys, 1-37.
  2. Zappa, L., Dari, J., Modanesi, S., Quast, R., Brocca, L., De Lannoy, G., Massari, C., Quintana-Seguí, P., Barella-Ortiz, A., & Dorigo, W. (2024). Benefits and pitfalls of irrigation timing and water amounts derived from satellite soil moisture, Agricultural Water Management, 295, 108773.
  3. Heyvaert, Z., Scherrer, S., Dorigo, W., Bechtold, M., & De Lannoy, G. (2024). Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model. Science of Remote Sensing, 100129.

2023

  1. Bechtold, M., Modanesi, S., Lievens, H., Baguis, P., Brangers, I., Carrassi, A., Getirana, A., Gruber, A., Heyvaert, Z., Massari, C., Scherrer, S., Vannitsem, S., and De Lannoy, G. (2023). Assimilation of Sentinel-1 backscatter into a land surface model with river routing and its impact on streamflow simulations in two Belgian catchmentsJournal of Hydrometeorology, 24(12), 2389–2408.

  2. Bueechi, E., Fischer, M., Crocetti, L., Trnka, M., Grlj, A., Zappa, L., & Dorigo, W. (2023). Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe droughtAgricultural and Forest Meteorology, 340, 109596. 

  3. Forkel, M., Schmidt, L., Zotta, R.-M., Dorigo, W., & Yebra, M. (2023). Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth. Hydrology and Earth System Sciences, 27, 39-68.

  4. Heyvaert, Z., Scherrer, S., Bechtold, M., Gruber, A., Dorigo, W., Kumar, S., & De Lannoy, G. (2023). Impact of Design Factors for ESA CCI Satellite Soil Moisture Data Assimilation over Europe. Journal of Hydrometeorology, 24, 1193–1208.

  5. Le Page, M., Nguyen, T., Zribi, M., Boone, A., Dari, J., Modanesi, S., Zappa, L., Ouaadi, N., & Jarlan, L. (2023). Irrigation Timing Retrieval at the Plot Scale Using Surface Soil Moisture Derived from Sentinel Time Series in Europe. Remote Sensing, 15(5), 1449.

  6. Madelon, R., Rodriguez-Fernandez, N., Bazzi, H., Baghdadi, N., Albergel, C., Dorigo, W., & Zribi, M. (2023). Soil moisture retrieval at 1-km resolution making a synergistic use of Sentinel-1/2/3 data. Hydrology and Earth System Sciences, 27, 1221-1242.

  7. McDermid, S., Nocco, M., Lawston-Parker, P., Keune, J., Pokhrel, Y., Jain, M., Jagermeyr, J., Brocca, L., Massari, C., Jones, A., Vahmani, P., Thiery, W., Yao, Y., Bell, A., Chen, L., Dorigo, W., Hanasaki, N., Jasechko, S., Lo, M. H., Mahmood, R., Mishra, V., Mueller, N., Niyogi, D., Rabin, S., Sloat, L., Wada, Y., Zappa, L., Chen, F., Cook, B., Kim, H., Lombardozzi, D., Polcher, J., Ryu, D., Santanello, J., Satoh, Y., Seneviratne, S., Singh, D., & Yokohata, T. (2023). Irrigation in the Earth system. Nature Reviews Earth & Environment, 4(7), 435-453.

  8. Meitner, J., Balek, J., Bláhová, M., Semerádová, D., Hlavinka, P., Lukas, V., Jurečka, F., Žalud, Z., Klem, K., Anderson, M. C., Dorigo, W., Fischer, M., & Trnka, M. (2023). Estimating Drought-Induced Crop Yield Losses at the Cadastral Area Level in the Czech Republic. Agronomy, 13, 1669.

  9. Mukunga, T., Forkel, M., Forrest, M., Zotta, R.-M., Pande, N., Schlaffer, S., & Dorigo, W. (2023). Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence. Fire, 6, 197.

  10. Pasik, A., Gruber, A., Preimesberger, W., De Santis, D., & Dorigo, W. (2023). Uncertainty estimation for a new exponential filter-based long-term root-zone soil moisture dataset from C3S surface observations. Geoscientific Model Development, 16, 4957–4976.

  11. Scherrer, S., De Lannoy, G., Heyvaert, Z., Bechtold, M., Albergel, C., El-Madany, T. S., & Dorigo, W. (2023). Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe. Hydrology and Earth System Sciences, 27, 4087-4114.

  12. Schmidt, L., Forkel, M., Zotta, R.-M., Scherrer, S., Dorigo, W. A., Kuhn-Régnier, A., van der Schalie, R., & Yebra, M. (2023). Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties. Biogeosciences, 20, 1027-1046.

  13. Smith, T., Zotta, R.-M., Boulton, C. A., Lenton, T. M., Dorigo, W., & Boers, N. (2023). Reliability of resilience estimation based on multi-instrument time series. Earth System Dynamics, 14, 173–183.

  14. Valkenborg, B., Lannoy, G. J. M., Gruber, A., Miralles, D. G., Köhler, P., Frankenberg, C., Desai, A. R., Humphreys, E., Klatt, J., Lohila, A., Nilsson, M. B., Tuittila, E.-S., Bechtold, M. (2023). Drought and waterlogging stress regimes in northern peatlands detected through satellite retrieved solar-induced chlorophyll fluorescence. Geophysical Research Letters, 50, e2023GL105205.

2022

  1. Azadi, S., Yazdanpanah, H., Nasr-Esfahani, M. A., Pourmanafi, S., & Dorigo, W. (2022). The Gavkhouni Wetland Dryness and Its Impact on Air Temperature Variability in the Eastern Part of the Zayandeh-Rud River Basin, Iran. Water, 14, 172.

  2. Dorigo, W., Zotta, R., van der Schalie, R., Preimesberger, W., Moesinger, L., & de Jeu, R. A. M. (2022). Vegetation Optical Depth [in "State of the Climate in 2021"]. Bulletin of the American Meteorological Society, 103(8), S108-S109.

  3. Gruber, A., & Reichle, R. (2022). Uncertainty Estimation for SMAP Level-1 Brightness Temperature Assimilation at Different Timescales. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 9127-9145.

  4. Harris, B., Taylor, C., Weedon, G., Talib, J., Dorigo, W., & van der Schalie, R. (2022). Satellite-Observed Vegetation Responses to Intraseasonal Precipitation Variability. Geophysical Research Letters, 49(15), e2022GL099635.

  5. Madelon, R., Rodriguez-Fernandez, N., van der Schalie, R., Scanlon, T., Al Bitar, A., Kerr, Y., Jeu, R., & Dorigo, W. (2022). Towards the removal of model dependency in soil moisture climate data records by using an L-band scaling reference. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 831-848.

  6. Modanesi, S., Massari, C., Bechtold, M., Lievens, H., Tarpanelli, A., Brocca, L., Zappa, L., & De Lannoy, G. J. M. (2022). Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP. Hydrology and Earth System Sciences, 26, 4685-4706.

  7. Moesinger, L., Zotta, R.-M., van der Schalie, R., Scanlon, T., de Jeu, R., & Dorigo, W. (2022). Monitoring Vegetation Condition using Microwave Remote Sensing: The Standardized Vegetation Optical Depth Index SVODI. Biogeosciences, 19, 5107-5123.

  8. Schlaffer, S., Chini, M., Dorigo, W., & Plank, S. (2022). Monitoring surface water dynamics in the Prairie Pothole Region of North Dakota using dual-polarised Sentinel-1 synthetic aperture radar (SAR) time series. Hydrology and Earth System Sciences, 26, 841-860.

  9. van der Schalie, R., van der Vliet, M., Albergel, C., Dorigo, W., Wolski, P., & de Jeu, R. (2022). Characterizing natural variability in complex hydrological systems using passive microwave-based climate data records: a case study for the Okavango Delta. Hydrology and Earth System Sciences, 26, 3611-3627.

  10. van der Schalie, R., Preimesberger, W., Stradiotti, P., van der Vliet, M., Mösinger, L., Rodríguez-Fernández, N., Madelon, R., Hahn, S., Hirschi, M., Kidd, R., de Jeu, R. A. M., & Dorigo, W. (2022). Soil Moisture [in "State of the Climate in 2021"]. Bulletin of the American Meteorological Society, 103(8), S64-S66.

  11. Vreugdenhil, M., Greimeister-Pfeil, I., Preimesberger, W., Camici, S., Dorigo, W., Enenkel, M., van der Schalie, R., Steele-Dunne, S., & Wagner, W. (2022). Microwave remote sensing for agricultural drought monitoring: Recent developments and challenges. Frontiers in Water, 4, 1045451.

  12. Wild, B., Teubner, I., Moesinger, L., Zotta, R.-M., Forkel, M., van der Schalie, R., Sitch, S., & Dorigo, W. (2022). VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing. Earth System Science Data, 14, 1063-1085.

  13. Zappa, L., Schlaffer, S., Brocca, L., Vreugdenhil, M., Nendel, C., & Dorigo, W. (2022). How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture? International Journal of Applied Earth Observation and Geoinformation, 113, 102979.

2021

  1. Beck, H. E., Pan, M., Miralles, D. G., Reichle, R. H., Dorigo, W. A., Hahn, S., Sheffield, J., Karthikeyan, L., Balsamo, G., Parinussa, R. M., van Dijk, A. I. J. M., Du, J., Kimball, J. S., Vergopolan, N., & Wood, E. F. (2021). Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors. Hydrology and Earth System Sciences, 25, 17-40.

  2. Brill, F., Schlaffer, S., Martinis, S., Schröter, K., & Kreibich, H. (2021). Extrapolating Satellite-Based Flood Masks by One-Class Classification—A Test Case in Houston. Remote Sensing, 13(11), 2042.

  3. Bruggisser, M., Dorigo, W., Dostálová, A., Hollaus, M., Navacchi, C., Schlaffer, S., & Pfeifer, N. (2021). Potential of Sentinel-1 C-Band Time Series to Derive Structural Parameters of Temperate Deciduous Forests. Remote Sensing, 13(4), 798.

  4. Dorigo, W., Dietrich, S., Aires, F., Brocca, L., Carter, S., Cretaux, J. F., Dunkerley, D., Enomoto, H., Forsberg, R., Güntner, A., Hegglin, M. I., Hollmann, R., Hurst, D. F., Johannessen, J. A., Kummerow, C., Lee, T., Luojus, K., Looser, U., Miralles, D. G., Pellet, V., Recknagel, T., Ruz-Vargas, C., Schneider, U., Schoeneich, P., Schröder, M., Tapper, N., Vuglinsky, V., Wagner, W., Tu, L., Zappa, L., Zemp, M., & Aich, V. (2021). Closing the water cycle from observations across scales: Where do we stand? Bulletin of the American Meteorological Society, 102(10), E1897-E1935.

  5. Dorigo, W., Himmelbauer, I., Aberer, D., Schremmer, L., Petrakovic, I., Zappa, L., Preimesberger, W., Xaver, A., Annor, F., Ardö, J., Baldocchi, D., Bitelli, M., Blöschl, G., Bogena, H., Brocca, L., Calvet, J.-C., Camarero, J. J., Capello, G., Choi, M., Cosh, M. C., van de Giesen, N., Hajdu, I., Ikonen, J., Jensen, K. H., Kanniah, K. D., de Kat, I., Kirchengast, G., Kumar Rai, P., Kyrouac, J., Larson, K., Liu, S., Loew, A., Moghaddam, M., Martínez Fernández, J., Mattar Bader, C., Morbidelli, R., Musial, J. P., Osenga, E., Palecki, M. A., Pellarin, T., Petropoulos, G. P., Pfeil, I., Powers, J., Robock, A., Rüdiger, C., Rummel, U., Strobel, M., Su, Z., Sullivan, R., Tagesson, T., Varlagin, A., Vreugdenhil, M., Walker, J., Wen, J., Wenger, F., Wigneron, J. P., Woods, M., Yang, K., Zeng, Y., Zhang, X., Zreda, M., Dietrich, S., Gruber, A., van Oevelen, P., Wagner, W., Scipal, K., Drusch, M., & Sabia, R. (2021). The International Soil Moisture Network: serving Earth system science for over a decade. Hydrology and Earth System Sciences, 25, 5749-5804.

  6. Dorigo, W., Moesinger, L., van der Schalie, R., Zotta, R. M., Scanlon, T., & de Jeu, R. A. M. (2021). Long-term monitoring of vegetation state through passive microwave satellites [in "State of the Climate in 2020"].  Bulletin of the American Meteorological Society, 102(8), S110-S112.

  7. Gonsamo, A., Ciais, P., Miralles, D. G., Sitch, S., Dorigo, W., Lombardozzi, D., Friedlingstein, P., Nabel, J., Goll, D. S., O'Sullivan, M., t Arneth, A., Anthoni, P., Jain, A. K., Wiltshire, A., Peylin, P., & Cescatti, A. (2021). Greening drylands despite warming consistent with carbon dioxide fertilization effect. Global Change Biology, 27(14)

  8. Massari, C., Modanesi, S., Dari, J., Gruber, A., De Lannoy, G. J. M., Girotto, M., Quintana-Seguí, P., Le Page, M., Jarlan, L., Zribi, M., Ouaadi, N., Vreugdenhil, M., Zappa, L., Dorigo, W., Wagner, W., Brombacher, J., Pelgrum, H., Jaquot, P., Freeman, V., Volden, E., Fernandez Prieto, D., Tarpanelli, A., Barbetta, S., & Brocca, L. (2021). A Review of Irrigation Information Retrievals from Space and Their Utility for Users. Remote Sensing, 13(20), 4112.

  9. Peng, J., Albergel, C., Balenzano, A., Brocca, L., Cartus, O., Cosh, M., Crow, W., Dabrowska-Zielinska, K., Dadson, S., Davidson, M., de Rosnay, P., Dorigo, W., Gruber, A., Hagemann, S., Hirschi, M., Kerr, Y., Lovergine, F., Machecha, M., Marzahn, P., Mattia, F., Musial, J., Preuschmann, S., Reichle, R., Satalino, G., Silgram, M., van Bodegom, P., Verhoest, N., Wagner, W., Walker, J., Wegmuller, U., & Loew, A. (2021). A roadmap for high-resolution satellite soil moisture applications - confronting product characteristics with user requirements. Remote Sensing of Environment, 252, 112162.

  10. Preimesberger, W., Scanlon, T., Su, C., Gruber, A., & Dorigo, W. (2021). Homogenization of structural breaks in the global ESA CCI Soil Moisture multisatellite climate data record. IEEE Transactions on Geoscience and Remote Sensing, 59(4), 2845-2862.

  11. Teubner, I., Forkel, M., Wild, B., Mosinger, L., & Dorigo, W. (2021). Impact of temperature and water availability on microwave-derived gross primary production. Biogeosciences, 18, 3285-3308.

  12. van der Schalie, R., van der Vliet, M., Rodríguez-Fernández, N., Dorigo, W. A., Scanlon, T., Preimesberger, W., Madelon, R., & de Jeu, R. A. M. (2021). L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records. Remote Sensing, 13, 2480.

  13. van der Schalie, R., Scanlon, T., Preimesberger, W., Pasik, A., van der Vliet, M., Mosinger, L., Rodriguez-Fernandez, N., Madelon, R., Hahn, S., Hirschi, M., Kidd, R., R. A. M. de Jeu, & Dorigo, W. (2021). Soil Moisture [in "State of the Climate in 2020"]. Bulletin of the American Meteorological Society, 102(8), S67-S68.

  14. Villalobos-Herrera, R., Bevacqua, E., Ribeiro, A., Auld, G., Crocetti, L., Mircheva, B., Ha, M., Zcheischler, J., & De Michele, C. (2021). Towards a compound-event-oriented climate model evaluation: a decomposition of the underlying biases in multivariate fire and heat stress hazards. Natural Hazards and Earth System Sciences, 21, 1867-1885.

  15. Zappa, L., Schlaffer, S., Bauer-Marschallinger, B., Nendel, C., Zimmermann, B., & Dorigo, W. (2021). Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture. Remote Sensing, 13(9), 1727.

2020

  1. Crocetti, L., Forkel, M., Fischer, M., Jurecka, F., Grlj, A., Salentining, A., Trnka, M., Anderson, M., Ng, W.-T., Kokalj, Z., Bucur, A., & Dorigo, W. (2020). Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions. Regional Environmental Change, 20(123).

  2. Enenkel, M., Brown, M. E., Vogt, J. V., McCarty, J. L., Reid Bell, A., Guha-Sapir, D., Dorigo, W., Vasilaky, K., Svoboda, M., Bonifacio, R., Anderson, M., Funk, C., Osgood, D., Hain, C., & Vinck, P. (2020). Why predict climate hazards if we need to understand impacts? Putting humans back into the drought equation. Climatic Change162, 1161-1176.

  3. Gruber, A., De Lannoy, G., Albergel, C., Al-Yaari, A., Brocca, L., Calvet, J.-C., Colliander, A., Cosh, M., Crow, W., Dorigo, W., Draper, C., Hirschi, M., Kerr, Y., Konings, A., Lahoz, W., McColl, K., Montzka, C., Muñoz-Sabater, J., Peng, J., Reichle, R., Richaume, P., Rüdiger, C., Scanlon, T., van der Schalie, R., Wigneron, J.-P., & Wagner, W. (2020). Validation practices for satellite soil moisture retrievals: What are (the) errors? Remote Sensing of Environment, 244.

  4. Maes, W., Pagán, B., Martens, B., Gentine, P., Guanter, L., Steppe, K., Verhoest, N., Dorigo, W., Li, X., Xiao, J., & Miralles, D. (2020). Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models. Remote Sensing of Environment, 249.

  5. Mahecha, M. D., Gans, F., Brandt, G., Christiansen, R., Cornell, S. E., Fomferra, N., Kraemer, G., Peters, J., Bodesheim, P., Camps-Valls, G., Donges, J. F., Dorigo, W., Estupiñan-Suarez, L., Gutierrez-Velez, V. H., Gutwin, M., Jung, M., Londoño, M. C., Miralles, D. G., Papastefanou, P., & Reichstein, M. (2020). Earth system data cubes unravel global multivariate dynamics. Earth System Dynamics, 11, 201-234.

  6. Moesinger, L., Dorigo, W., Jeu, R. de, Schalie, R. van der, Scanlon, T., Teubner, I., & Forkel, M. (2020). The Global Long-term Microwave Vegetation Optical Depth Climate Archive (VODCA). Earth System Science Data, 12, 177-196.

  7. Pfeil, I., Wagner, W., Forkel, M., Dorigo, W., & Vreugdenhil, M. (2020). Does ASCAT observe the spring reactivation in temperate deciduous broadleaf forests? Remote Sensing of Environment, 250, 112042.

  8. Popp, T., Hegglin, M., Hollmann, R., Ardhuin, F., Bartsch, A., Bastos, A., Bennett, V., Boutin, J., Brockmann, C., Buchwitz, M., Chuvieco, E., Ciais, P., Dorigo, W., Ghent, D., Jones, R., Lavergne, T., Merchant, C., Meyssignac, B., Paul, F., Quegan, S., Sathyendranath, S., Scanlon, T., Schröder, M., Simis, S., & Willén, U. (2020). Consistency of Satellite Climate Data Records for Earth System Monitoring. Bulletin of the American Meteorological Society, 101(11), E1948-E1971.

  9. Preimesberger, W., Pasik, A., van der Schalie, R., Scanlon, T., Kidd, R., R. A. M. de Jeu, & Dorigo, W. (2020). Soil Moisture [in "State of the Climate in 2019"]. Bulletin of the American Meteorological Society, 101(8), S56-S57.

  10. Solander, K. C., Newman, B. D., Carioca de Aruajo, A., Barnard, H. R., Berry, Z. C., Bonal, D., Bretfeld, M., Burban, B., Antonio Candido, L., Celleri, R., Chambers, J. Q., Christoffersen, B. O., Detto, M., Dorigo, W. A., Ewers, B. E., Jose Filgueiras Ferreira, S., Knohl, A., Leung, L. R., McDowell, N. G., Miller, G. R., Terezinha Ferreira Monteiro, M., Moore, G. W., Negron-Juarez, R., Saleska, S. R., Stiegler, C., Tomasella, J., & Xu, C. (2020). The pan-tropical response of soil moisture to El Niño. Hydrology and Earth System Sciences, 24, 2303-2020.

  11. van der Vliet, M., van der Schalie, R., Rodriguez-Fernandez, N., Colliander, A., de Jeu, R., Preimesberger, W., Scanlon, T., & Dorigo, W. (2020). Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records. Remote Sensing, 12(20), 3439.

  12. Vreugdenhil, M., Navacchi, C., Bauer-Marschallinger, B., Hahn, S., Steele-Dunne, S., Pfeil, I., Dorigo, W., & Wagner, W. (2020). Sentinel-1 Cross Ratio and Vegetation Optical Depth: A Comparison over Europe. Remote Sensing, 12, 3404.

  13. Wu, X., Lu, G., Wu, Z., He, H., Scanlon, T., & Dorigo, W. (2020). Triple Collocation-Based Assessment of Satellite Soil Moisture Products with In Situ Measurements in China: Understanding the Error Sources. Remote Sensing, 12, 2275.

  14. Xaver, A., Zappa, L., Rab, G., Pfeil, I., Vreugdenhil, M., Hemment, D., & Dorigo, W. (2020). Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications. Geoscientific Instrumentation, Methods, and Data Systems, 9, 117-139.

2019

  1. Al-Yaari, A., Wigneron, J.-P., Dorigo, W., Colliander, A., Pellarin, T.,Hahn, S., Mialon, A., Richaume, P., Fernandez-Moran, R., Fan, L., Kerr, Y.H., & De Lannoy, G. (2019). Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements. Biogeosciences, 16, 289–303.

  2. Drüke, M., Forkel, M., von Bloh., Sakschewski, B., Cardoso, M., Bustamante, M., Kurths, J., & Thonicke, K. (2019). Improving the LPJmL4-SPITFIRE vegetation–fire model for South America using satellite data. Geoscientific Model Development, 12, 5029-5054.

  3. Forkel, M., Andela, N., Harrison, S.P., Lasslop, G., Marle, M. van, Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., & Arneth, A. (2019). Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models. Biogeosciences, 16, 57–76.

  4. Forkel, M., Dorigo, W.A., Lasslop, G., Chuvieco, E., Hantson, S., Heil, A., Teubner, I., Thonicke, K., & Harrison, S.P. (2019). Recent global and regional trends in burned area and their compensating environmental controls. Environmental Research Communications, 1 051005.

  5. Forkel, M., Drüke, M., Thurner, M., Dorigo, W., Schaphoff, S., Thonicke, K., von Bloh, W., & Carvalhais, B. (2019). Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observationsScientific Reports9(1), 18757.

  6. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., & Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture Climate Data Records and their underlying merging methodology. Earth System Science Data, 11, 717-739.

  7. Huang, J., Forkelová, L., Unsicker, S.B., Forkel, M., Griffith, D.W.T., Trumbore, S., & Hartmann, H. (2019). Isotope labeling reveals contribution of newly fixed carbon to carbon storage and monoterpenes production under water deficit and carbon limitation. Environmental and Experimental Botany162, 333-344.

  8. Pellet, V., Aires, F., Munier, S., Fernández Prieto, D., Jordá, G., Dorigo, W., Polcher, J., & Brocca, L. (2019). Integrating multiple satellite observations into a coherent dataset to monitor the full water cycle – application to the Mediterranean region. Hydrology and Earth System Sciences, 23, 465–491.

  9. Scanlon, T., van der Schalie, R., Preimesberger, W., Reimer, C., Hahn, S., Gruber, A., Kidd, R., de Jeu, R.A.M, & Dorigo, W. A. (2019). Soil Moisture [in "State of the Climate in 2018"]. Bulletin of the American Meteorological Society, 100 (9), 38-39.

  10. Sharifi, E., Eitzinger, J., & Dorigo, W. (2019). Performance of the State-Of-The-Art Gridded Precipitation Products over Mountainous Terrain: A Regional Study over Austria. Remote Sensing, 2019, 11, 2018.

  11. Teubner, I.E., Forkel, M., Camps-Valls, G., Jung, M., Miralles, D.G., Tramontana, G., van der Schalie, R., Vreugdenhil, M., Mösinger, L., & Dorigo, W.A. (2019). A carbon sink-driven approach to estimate gross primary production from microwave satellite observations. Remote Sensing of Environment, 229, 100–113.

  12. Zappa, L.Forkel, M., Xaver, A., & Dorigo, W. (2019). Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region. Remote Sensing11(22), 2596.

  13. Zaussinger, F., Dorigo, W., Gruber, A., Tarpanelli, A., Filippucci, P., & Brocca, L. (2019). Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data. Hydrology and Earth System Sciences, 23, 897–923.

2018

  1. Buermann, W., Forkel, M., Sullivan, M., Sitch, S., Friedlingstein, P., Haverd, V., Jain, A.K., Kato, E., Kautz, M., Lienert, S., Lombardozzi, D., Nabel, J.E.M.S., Tian, H., Wiltshire, A.J., Zhu, D., Smith, W.K., & Richardson, A.D. (2018). Widespread seasonal compensation effects of spring warming on northern plant productivity. Nature, 562, 110–114.

  2. Ciabatta, L., Massari, C., Brocca, L., Gruber, A., Reimer, C., Hahn, S., Paulik, C., Dorigo, W., Kidd, R., & Wagner, W. (2018). SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture. Earth System Science Data, 10, 267–280.

  3. Dorigo, W., Scanlon, T., Gruber, A., van der Schalie, R., Reimer, C., Hahn, S., Paulik, C., Wagner, W., & De Jeu, R. (2018). Soil Moisture [in: "State of the Climate in 2017"]. Bulletin of the American Meteorological Society, 99 (8), 30-32.

  4. Gorroño, J., Hunt, S., Scanlon, T., Banks, A., Fox, N., Woolliams, E., Underwood, C., Gascon, F., Peters, M., Fomferra, N, Govaerts, Y., Lamquin, N., & Bruniquel, V. (2018). Providing uncertainty estimates of the Sentinel-2 top-of-atmosphere measurements for radiometric validation activities. European Journal of Remote Sensing, 51 (1), 650-666.

  5. Gruber A., Crow W. T., & Dorigo W. (2018). Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain. Water Resources Research, 54, 1353–1367.

  6. Martens, B., Waegeman, W., Dorigo, W., Verhoest, N., & Miralles, D. (2018). Terrestrial evaporation response to modes of climate variability. npj Climate and Atmospheric Science, 1, 43.

  7. Schaphoff, S., von Bloh, W., Rammig, A., Thonicke, K., Biemans, H., Forkel, M., Gerten, D., Heinke, J., Jägermeyr, J., Knauer, J., Langerwisch, F., Lucht, W., Müller, C., Rolinski, S., & Waha, K. (2018). LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description. Geoscientific Model Development, 11, 1343–1375.

  8. Schaphoff, S., Forkel, M., Müller, C., Knauer, J., von Bloh, W., Gerten, D., Jägermeyr, J., Lucht, W., Rammig, A., Thonicke, K., & Waha, K. (2018). LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation. Geoscientific Model Development, 11, 1377–1403.

  9. Teubner, I.E., Forkel, M., Jung, M., Liu, Y.Y., Miralles, D.G., Parinussa, R., van der Schalie, R., Vreugdenhil, M., Schwalm, C.R., Tramontana, G., Camps-Valls, G., & Dorigo, W. (2018). Assessing the relationship between microwave vegetation optical depth and gross primary production. International Journal of Applied Earth Observation and Geoinformation, 65, 79–91.

2017

  1. Albergel, C., Munier, S., Leroux, D. J., Dewaele, H., Fairbairn, D., Barbu, A. L., Gelati, E., Dorigo, W., Faroux, S., Meurey, C., Le Moigne, P., Decharme, B., Mahfouf, J.-F., & Calvet, J.-C. (2017). Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area. Geoscientific Model Development, 10, 3889–3912.

  2. Colliander, A., Jackson, T.J., Bindlish, R., Chan, S., Das, N., Kim, S.B., Cosh, M.H., Dunbar, R.S., Dang, L., Pashaian, L., Asanuma, J., Aida, K., Berg, A., Rowlandson, T., Bosch, D., Caldwell, T., Caylor, K., Goodrich, D., al Jassar, H., Lopez-Baeza, E., Martínez-Fernández, J., González-Zamora, A., Livingston, S., McNairn, H., Pacheco, A., Moghaddam, M., Montzka, C., Notarnicola, C., Niedrist, G., Pellarin, T., Prueger, J., Pulliainen, J., Rautiainen, K., Ramos, J., Seyfried, M., Starks, P., Su, Z., Zeng, Y., van der Velde, R., Thibeault, M., Dorigo, W., Vreugdenhil, M., Walker, J.P., Wu, X., Monerris, A., O’Neill, P.E., Entekhabi, D., Njoku, E.G., & Yueh, S. (2017). Validation of SMAP surface soil moisture products with core validation sites. Remote Sensing of Environment, 191, 215–231.

  3. Dorigo, W., Chung, D., Gruber, A., Hahn, S., Mistelbauer, T., Parinussa, R., Reimer, C., van der Schalie, R., De Jeu, R., & Wagner, W. (2017). Soil Moisture [In: "State of the Climate in 2016"]. Bulletin of the American Meteorological Society, 98 (8), 30-32.

  4. Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, P.D., Hirschi, M., Ikonen, J., de Jeu, R., Kidd, R., Lahoz, W., Liu, Y.Y., Miralles, D., Mistelbauer, T., Nicolai-Shaw, N., Parinussa, R., Pratola, C., Reimer, C., van der Schalie, R., Seneviratne, S.I., Smolander, T., & Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. Remote Sensing of Environment, 203, 185–215.

  5. Forkel, M., Dorigo, W., Lasslop, G., Teubner, I., Chuvieco, E., & Thonicke, K. (2017). A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1). Geoscientific Model Development, 10, 4443-4476.

  6. Gruber, A., Dorigo, W., Crow, W., & Wagner, W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing, 55, 6780–6792.

  7. Knauer, J., Zaehle, S., Reichstein, M., Medlyn, B., Forkel, M., Hagemann, S., & Werner, C. (2017). The response of ecosystem water-use efficiency to rising atmospheric CO2 concentrations: sensitivity and large-scale biogeochemical implications. New Phytologist, 213 (4), 1654-1666.

  8. Loew, A., Bell, W., Brocca, L., Bulgin, C.E., Burdanowitz, J., Calbet, X., Donner, R.V., Ghent, D., Gruber, A., Kaminski, T., Kinzel, J., Klepp, C., Lambert, J.-C., Schaepman-Strub, G., Schröder, M., & Verhoelst, T. (2017). Validation practices for satellite-based Earth observation data across communitiesReviews of Geophysics, 55, 779–817.

  9. Martens, B., Miralles, D. G., Lievens, H., van der Schalie, R., de Jeu, R. A. M., Férnandez-Prieto, D., Beck, H. E., Dorigo, W.A., & Verhoest, N. E. C. (2017). GLEAM v3: satellite-based land evaporation and root-zone soil moisture. Geoscientific Model Development, 10, 1903-1925.

  10. Miyaoka, K., Gruber, A., Ticconi, F., Hahn, S., Wagner, W., Figa-Saldaña, J., & Anderson, C. (2017). Triple Collocation Analysis of Soil Moisture From Metop-A ASCAT and SMOS Against JRA-55 and ERA-Interim. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 2274–2284.

  11. Papagiannopoulou, C., Miralles, D. G., Verhoest, N. E. C., Dorigo, W.A., & Waegeman, W. (2017). A non-linear Granger causality framework to investigate climate-vegetation dynamics. Geoscientific Model Development, 10, 1945-1960.

  12. Papagiannopoulou, C., Miralles, D.G., Dorigo, W.A., Verhoest, N.E.C., Depoorter, M., & Waegeman, W. (2017). Vegetation anomalies caused by antecedent precipitation in most of the world. Environmental Research Letters, 12, 074016.

  13. Schellekens, J., Dutra, E., Martínez-de la Torre, A., Balsamo, G., van Dijk, A., Sperna Weiland, F., Minvielle, M., Calvet, J.-C., Decharme, B., Eisner, S., Fink, G., Flörke, M., Peßenteiner, S., van Beek, R., Polcher, J., Beck, H., Orth, R., Calton, B., Burke, S., Dorigo, W., & Weedon, G. P. (2017). A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset. Earth System Science Data, 9, 389-413.

  14. Sippel, S., Forkel, M., Rammig, A., Thonicke, K., Flach, M., Heimann, M., Otto, F. E. L., Reichstein, M., & Mahecha, M. D. (2017). Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems. Environmental Research Letters, 12, 7, 075006.

  15. Scholze, M., Buchwitz, M., Dorigo, W., Guanter, L., & Quegan, S. (2017). Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems. Biogeosciences, 14, 3401-3429.

  16. Vreugdenhil, M., Hahn, S., Melzer, T., Bauer-Marschallinger, B., Reimer, C., Dorigo, W., & Wagner, W. (2017). Assessing Vegetation Dynamics Over Mainland Australia With Metop ASCAT. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (5), 2240-2248.

2016

  1. De Fouw, J., Govers, L.L., van de Koppel, J., van Belzen, J., Dorigo, W., Sidi Cheikh, M.A., Christianen, M.J.A., van der Reijden, K.J., van der Geest, M., Piersma, T., Smolders, A.J.P., Olff, H., Lamers, L.P.M., van Gils, J.A., & van der Heide, T. (2016). Drought and mutualism breakdown drive landscape-scale degradation of seagrass beds. Current Biology, 26 (8), 1051-1056.
  2. De Jeu, R., & Dorigo, W. (2016). On the importance of satellite observed soil moisture. International Journal of Applied Earth Observation and Geoinformation, 45, 107-109.

  3. Dirmeyer, P.A., Wu, J., Norton, H.E., Dorigo, W., Quiring, S.M., Ford, T.W., Santanello, J.A., Bosilovich, M.G., Ek, M.B., Koster, R.D., Balsamo, G., & Lawrence, D.M. (2016). Confronting weather and climate models with observational data from soil moisture networks over the United States. Journal of Hydrometeorology, 17(4), 1049-1067.

  4. Dorigo, W.A., Chung, D., Gruber, A., Hahn, S., Mistelbauer, T., Parinussa, R.M., Paulik, C., Reimer, C., van der Schalie, R., de Jeu, R.A.M., & Wagner, W. (2016). Soil Moisture. [In: "State of the Climate in 2015"]. Bulletin of the American Meteorological Society, 97 (8), S31-32.

  5. Dorigo, W., & de Jeu, R. (2016). Satellite soil moisture for advancing our understanding of earth system processes and climate change. Editorial. International Journal of Applied Earth Observation and Geoinformation, 48, 1-4.

  6. Enenkel, M., Steiner, C., Mistelbauer, T., Dorigo, W., Wagner, W., See, L., Atzberger, C., Schneider, S., & Rogenhofer, E. (2016). A combined satellite-derived Drought Indicator to support Humanitarian Aid Organizations. Remote Sensing, 8(4), 340.

  7. Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Forkel, M., Wingate, L., Tomelleri, E., Morra di Cella, U., & Richardson, A.D. (2016). Phenopix: A R package for image-based vegetation phenology. Agricultural and Forest Meteorology, 220, 141–150.

  8. Forkel, M., Carvalhais, N., Rödenbeck, C., Keeling, R., Heimann, M., Thonicke, K., Zaehle, S., & Reichstein, M. (2016). Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems. Science, 351(6274), 696-699.

  9. Griesfeller, A., Lahoz, W. A., de Jeu, R. A. M, Dorigo, W., Haugen, L. E., Svendby, T. M., & Wagner, W. (2016). Evaluation of satellite soil moisture products over Norway using ground-based observations. International Journal of Applied Earth Observation and Geoinformation, 45, 155-164.

  10. Gruber, A., Su, C.-H., Crow, W., Zwieback, S., Dorigo, W., & Wagner, W. (2016). Estimating error cross-correlations in soil moisture data sets using extended collocation analysis. Journal of Geophysical Research-Atmospheres, 121 (3), 1208-1219.

  11. Gruber, A., Su, C.-H., Zwieback, S., Crow, W., Dorigo, W., & Wagner, W. (2016). Recent advances in (soil moisture) triple collocation analysis. International Journal of Applied Earth Observation and Geoinformation, 45, 200-211.

  12. Nguyen, D. B., Gruber, A., & Wagner, W. (2016). Mapping rice extent and cropping scheme in the Mekong Delta using Sentinel-1A data. Remote Sensing Letters, 7 (12), 1209-1218.

  13. Sippel, S., Otto, F. E. L., Forkel, M., Allen, M. R., Guillod, B. P., Heimann, M., Reichstein, M., Seneviratne, S. I., Thonicke, K., & Mahecha, M. D. (2016). A novel bias correction methodology for climate impact simulations. Earth System Dynamics, 7, 71-88.

  14. Su, C.-H., Ryu, D., Dorigo, W., Zwieback, S., Gruber, A., Albergel, C., Reichle, R.H., & Wagner, W. (2016). Homogeneity of a global multi-satellite soil moisture climate data record. Geophysical Research Letters, 43 (21), 11245–11252.

  15. Su, C. H., Zhang, J., Gruber, A., Parinussa, R., Ryu, D., Crow, W. T., & Wagner, W. (2016). Error decomposition of nine passive and active microwave satellite soil moisture data sets over Australia. Remote Sensing of Environment, 182, 128-140.

  16. Thurner, M., Beer, C., Carvalhais, N., Forkel, M., Santoro, M., Tum, M., & Schmullius, C. (2016). Large‐scale variation in boreal and temperate forest carbon turnover rate is related to climate. Geophysical Research Letters.

  17. Vreugdenhil, M., Dorigo, W., Wagner, W., de Jeu, R., Hahn, S., & van Marle, M. (2016). Analysing the vegetation parameterisation in the TU-Wien ASCAT Soil Moisture Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 54 (6), 3513-3531.

  18. Zwieback, S., Su, C.-H., Gruber, A., Dorigo, W., & Wagner, W. (2016). The impact of quadratic nonlinear relations between soil moisture products on uncertainty estimates from triple collocation analysis and two quadratic extensions. Journal of Hydrometeorology, 17(6), 1725-1743.