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CCI Publications as of April 2018

 

Ablain, M., Cazenave, A., Larnicol, G., Balmaseda, M., Cipollini, P., Faugère, Y., … Benveniste, J. (2015). Improved sea level record over the satellite altimetry era (1993–2010) from the Climate Change Initiative project. Ocean Science, 11(1), 67–82. http://doi.org/10.5194/os-11-67-2015

Ablain, M., Cazenave, A., Valladeau, G., & Guinehut, S. (2009). A new assessment of the error budget of global mean sea level rate estimated by satellite altimetry over 1993–2008. Ocean Science, 5(2), 193–201. http://doi.org/10.5194/os-5-193-2009

Ablain, M., Legeais, J. F., Prandi, P., Marcos, M., Fenoglio-Marc, L., Dieng, H. B., … Cazenave, A. (2017). Satellite Altimetry-Based Sea Level at Global and Regional Scales. Surveys in Geophysics, 38(1), 7–31. http://doi.org/10.1007/s10712-016-9389-8

Ablain, M., Philipps, S., Urvoy, M., Tran, N., & Picot, N. (2012). Detection of Long-Term Instabilities on Altimeter Backscatter Coefficient Thanks to Wind Speed Data Comparisons from Altimeters and Models. Marine Geodesy, 35(sup1), 258–275. http://doi.org/10.1080/01490419.2012.718675

Adams, C., Bourassa, A. E., Bathgate, A. F., McLinden, C. A., Lloyd, N. D., Roth, C. Z., … Degenstein, D. A. (2013). Characterization of Odin-OSIRIS ozone profiles with the SAGE II dataset. Atmospheric Measurement Techniques, 6(5), 1447–1459. http://doi.org/10.5194/amt-6-1447-2013

Adams, C., Bourassa, A. E., Sofieva, V., Froidevaux, L., McLinden, C. A., Hubert, D., … Degenstein, D. A. (2014). Assessment of Odin-OSIRIS ozone measurements from 2001 to the present using MLS, GOMOS, and ozonesondes. Atmospheric Measurement Techniques, 7(1), 49–64. http://doi.org/10.5194/amt-7-49-2014

Adloff, F., Jordà, G., Somot, S., Sevault, F., Arsouze, T., Meyssignac, B., … Planton, S. (2017). Improving sea level simulation in Mediterranean regional climate models. Climate Dynamics, 1–12. http://doi.org/10.1007/s00382-017-3842-3

Afshar, M. H., & Yilmaz, M. T. (2017). The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products. Remote Sensing of Environment, 196, 224–237. http://doi.org/10.1016/J.RSE.2017.05.017

AGARWAL, V., BOLCH, T., SYED, T. H., PIECZONKA, T., STROZZI, T., & NAGAICH, R. (2017). Area and mass changes of Siachen Glacier (East Karakoram). Journal of Glaciology, 63(237), 148–163. http://doi.org/10.1017/jog.2016.127

Al-Naimi, N., Raitsos, D., Ben-Hamadou, R., & Soliman, Y. (2017). Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf. Remote Sensing, 9(3), 301. http://doi.org/10.3390/rs9030301

Al-Yaari, A., Wigneron, J. P., Kerr, Y., de Jeu, R., Rodriguez-Fernandez, N., van der Schalie, R., … Ducharne, A. (2016). Testing regression equations to derive long-term global soil moisture datasets from passive microwave observations. Remote Sensing of Environment, 180, 453–464. http://doi.org/10.1016/j.rse.2015.11.022

Albergel, C., Dorigo, W., Balsamo, G., Muñoz-Sabater, J., de Rosnay, P., Isaksen, L., … Wagner, W. (2013). Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses. Remote Sensing of Environment, 138, 77–89. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713002216

Albergel, C., Dorigo, W., Reichle, R. H., Balsamo, G., de Rosnay, P., Muñoz-Sabater, J., … Wagner, W. (2013). Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing. Journal of Hydrometeorology, 14(4), 1259–1277. http://doi.org/10.1175/JHM-D-12-0161.1

Albergel, C., Munier, S., Leroux, D. J., Dewaele, H., Fairbairn, D., Barbu, A. L., … 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(10), 3889–3912. http://doi.org/10.5194/gmd-10-3889-2017

Alexe, M., Bergamaschi, P., Segers, A., Detmers, R., Butz, A., Hasekamp, O., … Kort, E. A. (2015). Inverse modelling of CH4 emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY. Atmospheric Chemistry and Physics, 15(1), 113–133. http://doi.org/10.5194/acp-15-113-2015

Allison, I., Colgan, W., King M., P. F. (2015). Ice sheets, glaciers and sea level. In W. Haeberli & C. Whiteman (Eds.), Snow and Ice-Related Hazards, Risks, and Disasters (1st ed., pp. 714–748). Amsterdam, Netherlands: Elsevier. Retrieved from http://store.elsevier.com/Snow-and-Ice-Related-Hazards-Risks-and-Disaste...

Alonso-Canas, I., & Chuvieco, E. (2015). Global burned area mapping from ENVISAT-MERIS and MODIS active fire data. Remote Sensing of Environment, 163, 140–152. http://doi.org/10.1016/j.rse.2015.03.011

Altena, B., & Kääb, A. (2017). Elevation Change and Improved Velocity Retrieval Using Orthorectified Optical Satellite Data from Different Orbits. Remote Sensing, 9(3), 300. http://doi.org/10.3390/rs9030300

Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R., Kasibhatla, P. S., … Randerson, J. T. (2017). A human-driven decline in global burned area. Science, 356(6345). Retrieved from http://science.sciencemag.org/content/356/6345/1356

André, C., Ottlé, C., Royer, A., & Maignan, F. (2015). Land surface temperature retrieval over circumpolar Arctic using SSM/I–SSMIS and MODIS data. Remote Sensing of Environment, 162, 1–10. http://doi.org/10.1016/j.rse.2015.01.028

Arosio, C., Rozanov, A., Malinina, E., Eichmann, K.-U., von Clarmann, T., & Burrows, J. P. (2017). Retrieval of ozone profiles from OMPS limb scattering observations. Atmospheric Measurement Techniques Discussions, 1–23. http://doi.org/10.5194/amt-2017-301

Aschmann, J., Burrows, J. P., Gebhardt, C., Rozanov, A., Hommel, R., Weber, M., & Thompson, A. M. (2014). On the hiatus in the acceleration of tropical upwelling since the beginning of the 21st century. Atmospheric Chemistry and Physics, 14(23), 12803–12814. http://doi.org/10.5194/acp-14-12803-2014

Ashton, I. G., Shutler, J. D., Land, P. E., Woolf, D. K., & Quartly, G. D. (2016). A sensitivity analysis of the impact of rain on regional and global sea-air fluxes of CO2. PLoS ONE, 11(9), e0161105. http://doi.org/10.1371/journal.pone.0161105

Barichivich, J., Briffa, K., Myneni, R., Schrier, G., Dorigo, W., Tucker, C., … Melvin, T. (2014). Temperature and Snow-Mediated Moisture Controls of Summer Photosynthetic Activity in Northern Terrestrial Ecosystems between 1982 and 2011. Remote Sensing, 6(2), 1390–1431. http://doi.org/10.3390/rs6021390

Barrett, B., Nitze, I., Green, S., & Cawkwell, F. (2014). Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches. Remote Sensing of Environment, 152, 109–124. http://doi.org/10.1016/j.rse.2014.05.018

Barrett, B., Pratola, C., Gruber, A., & Dwyer, E. (2016). Intercomparison of soil moisture retrievals from in-situ, ASAR and ECV SM datasets over different European sites. In G. P. Petropoulos (Ed.), Satellite Soil Moisture Retrievals: Techniques & Applications. Elsevier. Retrieved from http://eprints.gla.ac.uk/109134/1/109134.pdf

Bartsch, A., Höfler, A., Kroisleitner, C., & Trofaier, A. (2016). Land Cover Mapping in Northern High Latitude Permafrost Regions with Satellite Data: Achievements and Remaining Challenges. Remote Sensing 2016, Vol. 8, Page 979, 8(12), 979. http://doi.org/10.3390/RS8120979

Basu, S., Guerlet, S., Butz, A., Houweling, S., Hasekamp, O., Aben, I., … Worthy, D. (2013). Global CO2 fluxes estimated from GOSAT retrievals of total column CO2. Atmospheric Chemistry and Physics, 13(17), 8695–8717. http://doi.org/10.5194/acp-13-8695-2013

Basu, S., Krol, M., Butz, A., Clerbaux, C., Sawa, Y., Machida, T., … Aben, I. (2014). The seasonal variation of the CO 2 flux over Tropical Asia estimated from GOSAT, CONTRAIL, and IASI. Geophysical Research Letters, 41(5), 1809–1815. http://doi.org/10.1002/2013GL059105

Bauer-Marschallinger, B., Dorigo, W. A., Wagner, W., & van Dijk, A. I. J. M. (2013). How Oceanic Oscillation Drives Soil Moisture Variations over Mainland Australia: An Analysis of 32 Years of Satellite Observations. Journal of Climate, 130730135426008. http://doi.org/10.1175/JCLI-D-13-00149.1

Bellprat, O., Massonnet, F., Siegert, S., Prodhomme, C., Macias-Gómez, D., Guemas, V., & Doblas-Reyes, F. (2017). Uncertainty propagation in observational references to climate model scales. Remote Sensing of Environment, 203, 101–108. http://doi.org/10.1016/J.RSE.2017.06.034

Belo Couto, A., Brotas, V., Mélin, F., Groom, S., & Sathyendranath, S. (2016). Inter-comparison of OC-CCI chlorophyll- a estimates with precursor data sets. International Journal of Remote Sensing, 37(18), 4337–4355. http://doi.org/10.1080/01431161.2016.1209313

Bhambri, R., Bolch, T., Kawishwar, P., Dobhal, D. P., Srivastava, D., & Pratap, B. (2013). Heterogeneity in glacier response in the upper Shyok valley, northeast Karakoram. The Cryosphere, 7(5), 1385–1398. http://doi.org/10.5194/tc-7-1385-2013

BHATTACHARYA, A., BOLCH, T., MUKHERJEE, K., PIECZONKA, T., KROPÁČEK, J., & BUCHROITHNER, M. F. (2016). Overall recession and mass budget of Gangotri Glacier, Garhwal Himalayas, from 1965 to 2015 using remote sensing data. Journal of Glaciology, 62(236), 1115–1133. http://doi.org/10.1017/jog.2016.96

Bingen, C., Robert, C. E., Stebel, K., Brühl, C., Schallock, J., Vanhellemont, F., … Pinnock, S. (2017). Stratospheric aerosol data records for the climate change initiative: Development, validation and application to chemistry-climate modelling. Remote Sensing of Environment, 203, 296–321. http://doi.org/10.1016/j.rse.2017.06.002

Block, T., Embacher, S., Merchant, C. J., & Donlon, C. (2017). High Performance Software Framework for the Calculation of Satellite-to-Satellite Data Matchups (MMS version 1.2). Geoscientific Model Development Discussions, 1–15. http://doi.org/10.5194/gmd-2017-54

Blunden, J., & Arndt, D. S. (2017). State of the Climate in 2016. Bulletin of the American Meteorological Society, 98(8), Si-S277. http://doi.org/10.1175/2017BAMSStateoftheClimate.1

Bojanowski, J., Stöckli, R., Tetzlaff, A., & Kunz, H. (2014). The Impact of Time Difference between Satellite Overpass and Ground Observation on Cloud Cover Performance Statistics. Remote Sensing, 6(12), 12866–12884. http://doi.org/10.3390/rs61212866

Bolch. (2015). Glacier area and mass changes since 1964 in the Ala Archa Valley, Kyrgyz Ala-Too, northern Tien Shan, 129(1), 28–39. Retrieved from http://www.researchgate.net/publication/274887171_Glacier_area_and_mass_...

Bolch, T., Kulkarni, A., Kääb, A., Huggel, C., Paul, F., Cogley, J. G., … Stoffel, M. (2012). The state and fate of Himalayan glaciers. Science (New York, N.Y.), 336(6079), 310–4. http://doi.org/10.1126/science.1215828

Bolch, T., Pieczonka, T., & Benn, D. I. (2011). Multi-decadal mass loss of glaciers in the Everest area (Nepal Himalaya) derived from stereo imagery. The Cryosphere, 5(2), 349–358. http://doi.org/10.5194/tc-5-349-2011

Bolch, T., Sandberg Sørensen, L., Simonsen, S. B., Mölg, N., Machguth, H., Rastner, P., & Paul, F. (2013). Mass loss of Greenland’s glaciers and ice caps 2003-2008 revealed from ICESat laser altimetry data. Geophysical Research Letters, 40(5), 875–881. http://doi.org/10.1002/grl.50270

Bontemps, S., Herold, M., Kooistra, L., van Groenestijn, A., Hartley, A., Arino, O., … Defourny, P. (2012). Revisiting land cover observation to address the needs of the climate modeling community. Biogeosciences, 9(6), 2145–2157. http://doi.org/10.5194/bg-9-2145-2012

Boynard, A., Hurtmans, D., Koukouli, M. E., Goutail, F., Bureau, J., Safieddine, S., … Clerbaux, C. (2016). Seven years of IASI ozone retrievals from FORLI: validation with independent total column and vertical profile measurements. Atmospheric Measurement Techniques, 9(9), 4327–4353. http://doi.org/10.5194/amt-9-4327-2016

Braesicke, P., See Hai, O., & Abu Samah, A. (2012). Properties of strong off-shore Borneo vortices: a composite analysis of flow pattern and composition as captured by ERA-Interim. Atmospheric Science Letters, 13(2), 128–132. http://doi.org/10.1002/asl.372

Brewin, R., Raitsos, D., Dall’Olmo, G., Zarokanellos, N., Jackson, T., Racault, M.-F., … Hoteit, I. (2015, August 1). Regional ocean-colour chlorophyll algorithms for the Red Sea. Remote Sensing of Environment. Elsevier. Retrieved from http://plymsea.ac.uk/6387/

Brewin, R., Sathyendranath, S., Jackson, T., Barlow, R., Brotas, V., Airs, R., & Lamont, T. (2015, October 1). Influence of light in the mixed-layer on the parameters of a three-component model of phytoplankton size class. Remote Sensing of Environment. http://doi.org/10.1016/j.rse.2015.07.004 <http://dx.doi.org/10.1016/j.rse.2015.07.004>

Brewin, R. J. W., Dall’Olmo, G., Sathyendranath, S., & Hardman-Mountford, N. J. (2012). Particle backscattering as a function of chlorophyll and phytoplankton size structure in the open-ocean. Optics Express, 20(16), 17632–52. http://doi.org/10.1364/OE.20.017632

Brewin, R. J. W., Devred, E., Sathyendranath, S., Lavender, S. J., & Hardman-Mountford, N. J. (2011). Model of phytoplankton absorption based on three size classes. Applied Optics, 50(22), 4535–49. http://doi.org/10.1364/AO.50.004535

Brewin, R. J. W., Dall’Olmo, G., Pardo, S., van Dongen-Vogels, V., & Boss, E. S. (2016). Underway spectrophotometry along the Atlantic Meridional Transect reveals high performance in satellite chlorophyll retrievals. Remote Sensing of Environment, 183, 82–97. http://doi.org/10.1016/j.rse.2016.05.005

Brewin, R. J. W., Raitsos, D. E., Pradhan, Y., & Hoteit, I. (2013). Comparison of chlorophyll in the Red Sea derived from MODIS-Aqua and in vivo fluorescence. Remote Sensing of Environment, 136, 218–224. Retrieved from http://www.sciencedirect.com/science/article/pii/S003442571300151X

Brewin, R. J. W., Sathyendranath, S., Müller, D., Brockmann, C., Deschamps, P.-Y., Devred, E., … White, G. N. (2013). The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms. Remote Sensing of Environment. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713003519

Brocca, L., Ciabatta, L., Massari, C., Moramarco, T., Hahn, S., Hasenauer, S., … Levizzani, V. (2014). Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data. Journal of Geophysical Research: Atmospheres, 119(9), 5128–5141. http://doi.org/10.1002/2014JD021489

Brotas, V., Brewin, R. J. W., Sá, C., Brito, A. C., Silva, A., Mendes, C. R., … Sathyendranath, S. (2013). Deriving phytoplankton size classes from satellite data: Validation along a trophic gradient in the eastern Atlantic Ocean. Remote Sensing of Environment, 134, 66–77. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713000540

Brun, F., Berthier, E., Wagnon, P., Kääb, A., & Treichler, D. (2017). A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016. Nature Geoscience, 10(9), 668–673. http://doi.org/10.1038/ngeo2999

Buchwitz, M., Reuter, M., Schneising, O., Boesch, H., Guerlet, S., Dils, B., … Yoshida, Y. (2013). The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets. Remote Sensing of Environment. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713003520

Buchwitz, M., Reuter, M., Schneising, O., Hewson, W., Detmers, R. G., Boesch, H., … Wunch, D. (2017). Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set. Remote Sensing of Environment, 203, 276–295. http://doi.org/10.1016/J.RSE.2016.12.027

Buchwitz, M., Schneising, O., Reuter, M., Heymann, J., Krautwurst, S., Bovensmann, H., … Frankenberg, C. (2016). Satellite-derived methane hotspot emission estimates using a fast data-driven method. Atmospheric Chemistry and Physics Discussions, 1–40. http://doi.org/10.5194/acp-2016-755

Buchwitz, M., Schneising, O., Reuter, M., Heymann, J., Krautwurst, S., Bovensmann, H., … Turner, A. J. (2017). Satellite-derived methane hotspot emission estimates using a fast data-driven method. Atmospheric Chemistry and Physics, 17(9), 5751–5774. http://doi.org/10.5194/acp-17-5751-2017

Bulgin, C. E., Eastwood, S., Embury, O., Merchant, C. J., & Donlon, C. (2014). The Sea Surface Temperature Climate Change Initiative: Alternative Image Classification Algorithms for Sea-Ice Affected Oceans. Remote Sensing of Environment.

Butz, A., Guerlet, S., Hasekamp, O., Schepers, D., Galli, A., Aben, I., … Warneke, T. (2011). Toward accurate CO 2 and CH 4 observations from GOSAT. Geophysical Research Letters, 38(14), n/a-n/a. http://doi.org/10.1029/2011GL047888

C, G. K., Alexander, P., Singh, S., Pelt, van, J, W. J., Hilmar, G., … Andreassen, L. M. (2017). How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment. The Cryosphere, 11, 949–970. http://doi.org/10.5194/tc-11-949-2017

Cai, D., Dameris, M., Garny, H., & Runde, T. (2012). Implications of all season Arctic sea-ice anomalies on the stratosphere. Atmospheric Chemistry and Physics, 12(24), 11819–11831. http://doi.org/10.5194/acp-12-11819-2012

Cammalleri, C., Vogt, J. V., Bisselink, B., & de Roo, A. (2017). Comparing soil moisture anomalies from multiple independent sources over different regions across the globe. Hydrology and Earth System Sciences Discussions, 1–34. http://doi.org/10.5194/hess-2017-196

Cañas, I. A., & Salinero, E. C. (2016). DESARROLLO DE UN ALGORITMO GLOBAL DE ÁREA QUEMADA PARA IMÁGENES DEL SENSOR ENVISAT-MERIS. GeoFocus. Revista Internacional de Ciencia Y Tecnología de La Información Geográfica, 0(17), 3–25. Retrieved from http://www.geofocus.org/index.php/geofocus/article/view/423/350

Carbajal Henken, C. K., Doppler, L., Lindstrot, R., Preusker, R., & Fischer, J. (2015). Exploiting the sensitivity of two satellite cloud height retrievals to cloud vertical distribution. Atmospheric Measurement Techniques, 8(8), 2623–2655. http://doi.org/10.5194/amt-8-3419-2015

Carbajal Henken, C. K., Lindstrot, R., Preusker, R., & Fischer, J. (2014). FAME-C: cloud property retrieval using synergistic AATSR and MERIS observations. Atmospheric Measurement Techniques, 7(11), 3873–3890. http://doi.org/10.5194/amt-7-3873-2014

Carret, A., Johannessen, J. A., Andersen, O. B., Ablain, M., Prandi, P., Blazquez, A., & Cazenave, A. (2017). Arctic Sea Level During the Satellite Altimetry Era. Surveys in Geophysics, 38(1), 251–275. http://doi.org/10.1007/s10712-016-9390-2

Cazenave, A., Henry, O., Munier, S., Delcroix, T., Gordon, A. L., Meyssignac, B., … Becker, M. (2012). Estimating ENSO Influence on the Global Mean Sea Level, 1993–2010. Marine Geodesy, 35(sup1), 82–97. http://doi.org/10.1080/01490419.2012.718209

Cazenave, A., Dieng, H.-B., Meyssignac, B., von Schuckmann, K., Decharme, B., & Berthier, E. (2014). The rate of sea-level rise. Nature Climate Change, advance on. http://doi.org/10.1038/nclimate2159

Chambers, D. P., Cazenave, A., Champollion, N., Dieng, H., Llovel, W., Forsberg, R., … Wada, Y. (2017). Evaluation of the Global Mean Sea Level Budget between 1993 and 2014. Surveys in Geophysics, 38(1), 309–327. http://doi.org/10.1007/s10712-016-9381-3

Che, Y., Xue, Y., Mei, L., Guang, J., She, L., Guo, J., … Fan, C. (2016). Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China. Atmospheric Chemistry and Physics, 16(15), 9655–9674. http://doi.org/10.5194/acp-16-9655-2016

Chen, T., de Jeu, R. A. M., Liu, Y. Y., van der Werf, G. R., & Dolman, A. J. (2014). Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia. Remote Sensing of Environment, 140, 330–338. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713002800

Chen, T., McVicar, T., Wang, G., Chen, X., de Jeu, R., Liu, Y., … Dolman, A. (2016). Advantages of Using Microwave Satellite Soil Moisture over Gridded Precipitation Products and Land Surface Model Output in Assessing Regional Vegetation Water Availability and Growth Dynamics for a Lateral Inflow Receiving Landscape. Remote Sensing, 8(5), 428. http://doi.org/10.3390/rs8050428

Chevallier, F., & O’Dell, C. W. (2013). Error statistics of Bayesian CO 2 flux inversion schemes as seen from GOSAT. Geophysical Research Letters, 40(6), 1252–1256. http://doi.org/10.1002/grl.50228

Chevallier, F., Palmer, P. I., Feng, L., Boesch, H., O’Dell, C. W., & Bousquet, P. (2014). Toward robust and consistent regional CO 2 flux estimates from in situ and spaceborne measurements of atmospheric CO 2. Geophysical Research Letters, 41(3), 1065–1070. http://doi.org/10.1002/2013GL058772

Chiou, E. W., Bhartia, P. K., McPeters, R. D., Loyola, D. G., Coldewey-Egbers, M., Fioletov, V. E., … Frith, S. M. (2014). Comparison of profile total ozone from SBUV (v8.6) with GOME-type and ground-based total ozone for a 16-year period (1996 to 2011). Atmospheric Measurement Techniques, 7(6), 1681–1692. http://doi.org/10.5194/amt-7-1681-2014

Chipperfield, M. P., Bekki, S., Dhomse, S., Harris, N. R. P., Hassler, B., Hossaini, R., … Weber, M. (2017). Detecting recovery of the stratospheric ozone layer. Nature, 549(7671), 211–218. http://doi.org/10.1038/nature23681

Christensen, M. W., Neubauer, D., Poulsen, C. A., Thomas, G. E., McGarragh, G. R., Povey, A. C., … Grainger, R. G. (2017). Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate. Atmospheric Chemistry and Physics, 17(21), 13151–13164. http://doi.org/10.5194/acp-17-13151-2017

Christensen, M. W., Neubauer, D., Poulsen, C., Thomas, G., McGarragh, G., Povey, A. C., … Grainger, R. G. (2017). Unveiling aerosol-cloud interactions Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate. Atmospheric Chemistry and Physics Discussions, 1–21. http://doi.org/10.5194/acp-2017-450

Chuvieco, E., Yue, C., Heil, A., Mouillot, F., Alonso-Canas, I., Padilla, M., … Tansey, K. (2016). A new global burned area product for climate assessment of fire impacts. Global Ecology and Biogeography, 25(5), n/a-n/a. http://doi.org/10.1111/geb.12440

Ciabatta, L., Brocca, L., Massari, C., Moramarco, T., Gabellani, S., Puca, S., & Wagner, W. (2016). Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy. International Journal of Applied Earth Observation and Geoinformation, 48, 163–173. http://doi.org/10.1016/j.jag.2015.10.004

Ciavatta, S., Brewin, R. J. W., Skákala, J., Polimene, L., de Mora, L., Artioli, Y., & Allen, J. I. (2018). Assimilation of Ocean-Color Plankton Functional Types to Improve Marine Ecosystem Simulations. Journal of Geophysical Research: Oceans, 123(2), 834–854. http://doi.org/10.1002/2017JC013490

Ciavatta, S., Torres, R., Martinez-Vicente, V., Smyth, T., Dall’Olmo, G., Polimene, L., & Allen, J. I. (2014). Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling. Progress in Oceanography. http://doi.org/10.1016/j.pocean.2014.06.002

Ciavatta, S., Torres, R., Saux-Picart, S., & Allen, J. I. (2011). Can ocean color assimilation improve biogeochemical hindcasts in shelf seas? Journal of Geophysical Research, 116(C12), C12043. http://doi.org/10.1029/2011JC007219

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