Changes between Version 148 and Version 149 of PublicationsandPresentations


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  • PublicationsandPresentations

    v148 v149  
    3030Nerger, L., Hiller, W., Schröter, J.(2005). PDAF - The Parallel Data Assimilation Framework: Experiences with Kalman Filtering, Use of high performance computing in meteorology : proceedings of the Eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology, Reading, UK, 25 - 29 October 2004 / Eds.: Walter Zwieflhofer; George Mozdzynski, Singapore: World Scientific, 63-83. [http://doi.org/10.1142/9789812701831_0006 doi:10.1142/9789812701831_0006] [http://hdl.handle.net/10013/epic.22580 preprint]
    3131
    32 == Publications involving PDAF - by the PDAF developers ==
     32== Publications involving PDAF ==
    3333
     34(This list is likely incomplete. If you see a paper missing, please write to us at pdaf _at_ awi _dot_ de)
    3435
    35 === 2019
     36=== 2019 ===
     37
     38Springer, A., Karegar, M. A., Kusche, J., Keune, J., Kurtz, W., Kollet, S. (2019) Evidence of daily hydrological loading in GPS time series over Europe. Journal of Geodesy, 93, 2145-2153[https://doi.org/10.1007/s00190-019-01295-1]
     39
     40Mu L., Liang X., Yang Q., Liu J., Zheng F. (2019). Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts during Xuelong’s first trans-Arctic Passage in summer 2017. Journal of Glaciology 1–9, [https://doi.org/10.1017/jog.2019.55]
     41
     42Sanchez, S., Wicht, J., Bärenzung, J., Holschneider, M. (2019) Sequential assimilation of geomagnetic observations: perspectives for the reconstruction and prediction of core dynamics. Geophysical Journal Internations 217, 1434–1450 [https://doi.org/10.1093/gji/ggz090]
     43
     44Naz, B. S., Kurtz, W., Montzka, C., Sharples, W., Goergen, K., Keune, J., Gao, H., Springer, A., Hendricks Franssen, H.-J., Kollet, S. (2019). Improving soil moisture and runoff simulations at 3\,km over Europe using land surface data assimilation. Hydrology and Earth System Sciences. 23 , 277-301. [https://doi.org/10.5194/hess-23-277-2019]
    3645
    3746Goodliff, M., Bruening, T., Schwichtenberg, F., Li, X., Lindenthal, A., Lorkowski, I., Nerger, L. (2019) Temperature assimilation into a coastal ocean-biogeochemical model: Assessment of weakly and strongly-coupled data assimilation, Oce. Dyn., 69, 1217-1237, [http://doi.org/10.1007/s10236-019-01299-7 doi:10.1007/s10236-019-01299-7]
     
    4352Pradhan, H.K., Voelker, C., Losa, S.N., Bracher, A., Nerger, L. (2019) Assimilation of global total chlorophyll OC-CCI data and its impact on individual phytoplankton fields. J. Geophys. Res. Oceans, 124, 470-490, [https://doi.org/10.1029/2018JC014329 doi:10.1029/2018JC014329]
    4453
    45 === 2018
     54=== 2018 ===
     55
     56Shrestha, P., Kurtz, W., Vogel, G., Schulz, J.-P., Sulis, M., Hendricks Franssen, H.-J., Kollet, S., Simmern, C. (2018). Connection between root
     57zone soil moisture and surface energy flux partitioning using modeling, observations, and data assimilation for a temperate grassland site in Germany.
     58Journal of Geophysical Research: Biogeosciences, 123 (2018) 2839-2862 [https://doi.org/10.1029/2016JG003753]
     59
     60Liu, Y, W. Fu (2018). Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea. Ocean Science 14(2018) 525-541 [https://doi.org/10.5194/os-14-525-2018] (The paper doesn't mention PDAF, but the author's confirmed that PDAF with offline-coupling to NEMO was used)
     61
     62Bocher, M., A. Fournier, N. Coltice (2018). Ensemble Kalman filter for the reconstruction of the Earth's mantle circulation. Nonlin. Proc. Geophys., 25 (2018) 99-123 [https://doi.org/10.5194/npg-25-99-2018]
     63
     64Zhang, H., W. Kurtz, S. Kollet, H. Vereecken, H.-J. Hendricks Franssen (2018). Comparison of different assimilation methodologies of groundwater levels to improve predictions of root zone soil moisture with an integrated terrestrial system model. Advances in Water Resources, 111 (2018) 224-238 [http://doi.org/10.1016/j.advwatres.2017.11.003]
     65
     66Brune, S., Düsterhus, A., Pohlmann, H., Müller, W. A., Baehr, J. (2018). Time dependency of the prediction skill for the North Atlantic subpolar gyre in initialized decadal hindcasts. Climate Dynamics, 51 (2018) 1947–1970 [https://doi.org/10.1007/s00382-017-3991-4]
     67
     68Sharples, W., I. Zhukov, M. Geimer, K. Goergen, S. Luehrs, T. Breuer, B. Naz, K. Kulkarni, S. Brdar, S. Kollet (2018). A run control framework to streamline profiling, porting, andtuning simulation runs and provenance trackingof geoscientific applications. Geosci. Model Dev. 11 (2018) 2875 [https://doi.org/10.5194/gmd-11-2875-2018]
     69
     70Bogena, H. R., C. Montzka, J.A. Huisman, A. Graf, M. Schmidt, M. Stockinger, C. von Hebel, H.J. Hendricks-Franssen, J. van der Kruk, W. Tappe, A. Lücke, R. Baatz, R. Bol, J. Groha, T. Pütz, J. Jakobi, R. Kunkel, J. Sorg and H. Vereecken. (2018). The TERENO-Rur Hydrological Observatory: A Multiscale Multi-Compartment Research Platform for the Advancement of Hydrological Science. Vadose Zone Journal, 17, UNSP 180055 [https://doi.org/10.2136/vzj2018.03.0055]
    4671
    4772Mu, L., Losch, M., Yang, Q., Ricker, R., Losa, S., Nerger, L., and Zhang, J. (2018) Arctic-wide sea-ice thickness estimates from combining satellite remote sensing data and a dynamic ice-ocean model with data assimilation during the !CryoSat-2 period. J. Geophys. Res. Oceans, 123, 7763-7780 [https://doi.org/10.1029/2018JC014316 doi:10.1029/2018JC014316]
     
    5378=== 2017 ===
    5479
     80Zhang, Y., Hou, J., Gu, J., Huang, C., Li, X. (2017). SWAT-based hydrological data assimilation system (SWAT-HDAS): Description and case application to river basin-scale hydrological predictions. Journal of Advances in Modeling Earth Systems, 9 (2017) 2863–2882 [https://doi.org/10.1002/2017MS001144]
     81
     82Chen, Z., J. Liu, M. Song, Q. Yang, S. Xu (2017). Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System. J. Climate, 30 (2017) 8429-8446 [https://doi.org/10.1175/JCLI-D-17-0093.1]
     83
     84Irrgang, C., J. Saynisch, M. Thomas (2017). Utilizing oceanic electromagnetic induction to constrain an ocean general circulation model: A data assimilation twin experiment. Journal of Advances in Modeling Earth Systems, 9 (2017) 1703-1720 [https://doi.org/10.1002/2017MS000951]
     85
     86Baatz, D., W. Kurtz, H.J. Hendricks Franssen, H. Vereecken, S.J. Kollet (2017). Catchment tomography - An approach for spatial parameter estimation. Advances in Water Resources 107 (2017) 147–159 [https://doi.org/10.1016/j.advwatres.2017.06.006]
     87
    5588Liang, X., Yang, Q., Nerger, L., Losa, S. N., Zhao, B., Zheng, F., Zhang, L., Wu, L. (2017) Assimilating Copernicus SST data into a pan-Arctic ice-ocean coupled model with a local SEIK filter. Journal of Atmospheric and Oceanic Technology, 34, 1985-1999 [https://doi.org/10.1175/JTECH-D-16-0166.1 doi:10.1175/JTECH-D-16-0166.1]
    5689
     
    5992
    6093=== 2016 ===
     94
     95Kurtz, W., G. He, S. J. Kollet, R. M. Maxwell, H. Vereecken, H.-J. Hendrics Franssen (2016). TerrSysMP–PDAF (version 1.0): a modular high-performance data
     96assimilation framework for an integrated land surface–subsurface model. Geoscientific Model Development, 9, 1341-1360, 2016 [https://doi.org/10.5194/gmd-9-1341-2016]
     97
     98Korthe, S., J. Tödter, B. Ahrens. (2016) Strategies for soil initialization of regional decadal climate predictions. Meteorologisch Zeitschrift, 25 (2016) 775-794 [https://doi.org/10.1127/metz/2016/0729]
    6199
    62100Nerger, L., Losa, S. N., Brüning T., Janssen F. (2016) The HBM-PDAF assimilation system for operational forecasts in the North and Baltic Seas, in Operational Oceanography for Sustainable Blue Growth. Proceedings of the Seventh EuroGOOS International Confer- ence. 28-30 October 2014, Lisbon, Portugal / Eds. E. Buch, Y. Antoniou, D. Eparkhina, G. Nolan. ISBN 978-2-9601883-1-8
     
    70108=== 2015 ===
    71109
     110Saynisch, J., I. Bergmann-Wolf, M. Thomas (2015). Assimilating of GRACE-derived oceanic mass distributations with a global ocean circulation model. Journal of Geodesy, 89, 121-139 [https://doi.org/10.1007/s00190-014-0766-0]
    72111Brune, S., Nerger, L., Baehr, J. (2015) Assimilation of oceanic observations in a global coupled Earth system
    73112model with the SEIK filter Ocean Modelling. Ocean Modelling, 96, 254-264 [http://dx.doi.org/10.1016/j.ocemod.2015.09.011 doi:10.1016/j.ocemod.2015.09.011]
     
    96135=== 2012 ===
    97136
     137Janjić, T., Schröter, J., Savcenko, R., Bosch, W., Albertella, A., Rummel, R., Klatt, O. (2012). Impact of combining GRACE and GOCE gravity data on ocean circulation estimates. Ocean Science, 8, 65-79 [http://dx.doi.org/doi:10.5194/os-8-65-2012 doi:10.5194/os-8-65-2012].
     138
     139Janjić, T., Schröter, J., Albertella, A., Bosch, W., Rummel, R., Savcenko, R., Schwabe, J., Scheinert, M. (2012). Assimilation of geodetic dynamic ocean topography using ensemble based Kalman filter. Journal of Geodynamics, 59-60, pp. 92-98 [http://dx.doi.org/doi:10.5194/os-8-65-2012 doi:10.5194/os-8-65-2012].
     140
     141Saynisch, J., Thomas, M. (2012). Ensemble Kalman‐Filtering of Earth rotation observations with aglobal ocean model. Journal of Geodynamics, 62, 24‐29 [http://dx.doi.org/10.1016/j.jog.2011.10.003 doi:10.1016/j.jog.2011.10.003]
     142
    98143Nerger, L., Janjić, T., Schröter, J., Hiller, W. (2012). A unification of ensemble square root Kalman filters. Monthly Weather Review, 140, 2335-2345. [http://dx.doi.org/doi:10.1175/MWR-D-11-00102.1 doi:10.1175/MWR-D-11-00102.1]
    99144
     
    105150
    106151Janjić, T., Nerger, L., Albertella, A., Schröter, J., Skachko, S. (2011). On domain localization in ensemble based Kalman filter algorithms. Monthly Weather Review, 139, 2046-2060 [http://dx.doi.org/10.1175/2011MWR3552.1 doi:10.1175/2011MWR3552.1].
     152
     153=== 2009 ===
     154
     155Rollenhagen, K., Timmermann, R., Janjic, T., Schröter, J., Danilov, S.(2009). Assimilation of sea ice motion in a Finite Element Sea Ice Model, Journal of Geophysical Research, 114, C05007, [http://dx.doi.org/10.1029/2008JC005067 doi:10.1029/2008JC005067].
    107156 
    108157=== 2008 ===
    109158
    110159Nerger, L., Gregg, W. W.(2008). Improving Assimilation of SeaWiFS Data by the Application of Bias Correction with a Local SEIK Filter, Journal of Marine Systems, 73 (2008) 87-102, [http://dx.doi.org/10.1016/j.jmarsys.2007.09.007 doi:10.1016/j.jmarsys.2007.09.007].
     160
     161Skachko, S., Danilov, S., Janjic, T., Schröter, J., Sidorenko, D., Savcenko, R., Bosch, W.(2008). Sequential assimilation of multi-mission dynamical topography into a global finite-element ocean model, Ocean Science, 4, 307-318, [http://dx.doi.org/10.5194/os-4-307-2008 doi:10.5194/os-4-307-2008].
     162 
    111163 
    112164=== 2007 ===
     
    125177=== 2004 ===
    126178Nerger, L.(2004). Parallel Filter Algorithms for Data Assimilation in Oceanography, PhD Thesis, University of Bremen, 2004 ([http://www.awi.de/en/infrastructure/library/awi_periodicals/reports_on_polar_and_marine_research/ Reports on Polar and Marine Research], 487, 174 pp.)
    127 
    128 
    129 
    130 == Publications by PDAF users ==
    131 
    132 (This list is likely incomplete. If you see a paper missing, please write to us at pdaf _at_ awi _dot_ de)
    133 
    134 === 2019 ===
    135 
    136 Springer, A., Karegar, M. A., Kusche, J., Keune, J., Kurtz, W., Kollet, S. (2019) Evidence of daily hydrological loading in GPS time series over Europe. Journal of Geodesy, 93, 2145-2153[https://doi.org/10.1007/s00190-019-01295-1]
    137 
    138 Mu L., Liang X., Yang Q., Liu J., Zheng F. (2019). Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts during Xuelong’s first trans-Arctic Passage in summer 2017. Journal of Glaciology 1–9, [https://doi.org/10.1017/jog.2019.55]
    139 
    140 Sanchez, S., Wicht, J., Bärenzung, J., Holschneider, M. (2019) Sequential assimilation of geomagnetic observations: perspectives for the reconstruction and prediction of core dynamics. Geophysical Journal Internations 217, 1434–1450 [https://doi.org/10.1093/gji/ggz090]
    141 
    142 Naz, B. S., Kurtz, W., Montzka, C., Sharples, W., Goergen, K., Keune, J., Gao, H., Springer, A., Hendricks Franssen, H.-J., Kollet, S. (2019). Improving soil moisture and runoff simulations at 3\,km over Europe using land surface data assimilation. Hydrology and Earth System Sciences. 23 , 277-301. [https://doi.org/10.5194/hess-23-277-2019]
    143 
    144 === 2018 ===
    145 
    146 Shrestha, P., Kurtz, W., Vogel, G., Schulz, J.-P., Sulis, M., Hendricks Franssen, H.-J., Kollet, S., Simmern, C. (2018). Connection between root
    147 zone soil moisture and surface energy flux partitioning using modeling, observations, and data assimilation for a temperate grassland site in Germany.
    148 Journal of Geophysical Research: Biogeosciences, 123 (2018) 2839-2862 [https://doi.org/10.1029/2016JG003753]
    149 
    150 Liu, Y, W. Fu (2018). Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea. Ocean Science 14(2018) 525-541 [https://doi.org/10.5194/os-14-525-2018] (The paper doesn't mention PDAF, but the author's confirmed that PDAF with offline-coupling to NEMO was used)
    151 
    152 Bocher, M., A. Fournier, N. Coltice (2018). Ensemble Kalman filter for the reconstruction of the Earth's mantle circulation. Nonlin. Proc. Geophys., 25 (2018) 99-123 [https://doi.org/10.5194/npg-25-99-2018]
    153 
    154 Zhang, H., W. Kurtz, S. Kollet, H. Vereecken, H.-J. Hendricks Franssen (2018). Comparison of different assimilation methodologies of groundwater levels to improve predictions of root zone soil moisture with an integrated terrestrial system model. Advances in Water Resources, 111 (2018) 224-238 [http://doi.org/10.1016/j.advwatres.2017.11.003]
    155 
    156 Brune, S., Düsterhus, A., Pohlmann, H., Müller, W. A., Baehr, J. (2018). Time dependency of the prediction skill for the North Atlantic subpolar gyre in initialized decadal hindcasts. Climate Dynamics, 51 (2018) 1947–1970 [https://doi.org/10.1007/s00382-017-3991-4]
    157 
    158 Sharples, W., I. Zhukov, M. Geimer, K. Goergen, S. Luehrs, T. Breuer, B. Naz, K. Kulkarni, S. Brdar, S. Kollet (2018). A run control framework to streamline profiling, porting, andtuning simulation runs and provenance trackingof geoscientific applications. Geosci. Model Dev. 11 (2018) 2875 [https://doi.org/10.5194/gmd-11-2875-2018]
    159 
    160 Bogena, H. R., C. Montzka, J.A. Huisman, A. Graf, M. Schmidt, M. Stockinger, C. von Hebel, H.J. Hendricks-Franssen, J. van der Kruk, W. Tappe, A. Lücke, R. Baatz, R. Bol, J. Groha, T. Pütz, J. Jakobi, R. Kunkel, J. Sorg and H. Vereecken. (2018). The TERENO-Rur Hydrological Observatory: A Multiscale Multi-Compartment Research Platform for the Advancement of Hydrological Science. Vadose Zone Journal, 17, UNSP 180055 [https://doi.org/10.2136/vzj2018.03.0055]
    161 
    162 === 2017 ===
    163 
    164 Zhang, Y., Hou, J., Gu, J., Huang, C., Li, X. (2017). SWAT-based hydrological data assimilation system (SWAT-HDAS): Description and case application to river basin-scale hydrological predictions. Journal of Advances in Modeling Earth Systems, 9 (2017) 2863–2882 [https://doi.org/10.1002/2017MS001144]
    165 
    166 Chen, Z., J. Liu, M. Song, Q. Yang, S. Xu (2017). Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System. J. Climate, 30 (2017) 8429-8446 [https://doi.org/10.1175/JCLI-D-17-0093.1]
    167 
    168 Irrgang, C., J. Saynisch, M. Thomas (2017). Utilizing oceanic electromagnetic induction to constrain an ocean general circulation model: A data assimilation twin experiment. Journal of Advances in Modeling Earth Systems, 9 (2017) 1703-1720 [https://doi.org/10.1002/2017MS000951]
    169 
    170 Baatz, D., W. Kurtz, H.J. Hendricks Franssen, H. Vereecken, S.J. Kollet (2017). Catchment tomography - An approach for spatial parameter estimation. Advances in Water Resources 107 (2017) 147–159 [https://doi.org/10.1016/j.advwatres.2017.06.006]
    171 
    172 === 2016 ===
    173 
    174 Kurtz, W., G. He, S. J. Kollet, R. M. Maxwell, H. Vereecken, H.-J. Hendrics Franssen (2016). TerrSysMP–PDAF (version 1.0): a modular high-performance data
    175 assimilation framework for an integrated land surface–subsurface model. Geoscientific Model Development, 9, 1341-1360, 2016 [https://doi.org/10.5194/gmd-9-1341-2016]
    176 
    177 Korthe, S., J. Tödter, B. Ahrens. (2016) Strategies for soil initialization of regional decadal climate predictions. Meteorologisch Zeitschrift, 25 (2016) 775-794 [https://doi.org/10.1127/metz/2016/0729]
    178 
    179 === 2015 ===
    180 
    181 Saynisch, J., I. Bergmann-Wolf, M. Thomas (2015). Assimilating of GRACE-derived oceanic mass distributations with a global ocean circulation model. Journal of Geodesy, 89, 121-139 [https://doi.org/10.1007/s00190-014-0766-0]
    182 
    183 === 2012 ===
    184 
    185 Janjić, T., Schröter, J., Savcenko, R., Bosch, W., Albertella, A., Rummel, R., Klatt, O. (2012). Impact of combining GRACE and GOCE gravity data on ocean circulation estimates. Ocean Science, 8, 65-79 [http://dx.doi.org/doi:10.5194/os-8-65-2012 doi:10.5194/os-8-65-2012].
    186 
    187 Janjić, T., Schröter, J., Albertella, A., Bosch, W., Rummel, R., Savcenko, R., Schwabe, J., Scheinert, M. (2012). Assimilation of geodetic dynamic ocean topography using ensemble based Kalman filter. Journal of Geodynamics, 59-60, pp. 92-98 [http://dx.doi.org/doi:10.5194/os-8-65-2012 doi:10.5194/os-8-65-2012].
    188 
    189 Saynisch, J., Thomas, M. (2012). Ensemble Kalman‐Filtering of Earth rotation observations with aglobal ocean model. Journal of Geodynamics, 62, 24‐29 [http://dx.doi.org/10.1016/j.jog.2011.10.003 doi:10.1016/j.jog.2011.10.003]
    190 
    191 === 2009 ===
    192 
    193 Rollenhagen, K., Timmermann, R., Janjic, T., Schröter, J., Danilov, S.(2009). Assimilation of sea ice motion in a Finite Element Sea Ice Model, Journal of Geophysical Research, 114, C05007, [http://dx.doi.org/10.1029/2008JC005067 doi:10.1029/2008JC005067].
    194  
    195 === 2008 ===
    196 
    197 Skachko, S., Danilov, S., Janjic, T., Schröter, J., Sidorenko, D., Savcenko, R., Bosch, W.(2008). Sequential assimilation of multi-mission dynamical topography into a global finite-element ocean model, Ocean Science, 4, 307-318, [http://dx.doi.org/10.5194/os-4-307-2008 doi:10.5194/os-4-307-2008].
    198