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2Gradient boosting machine learning to improve satellite-derived column water vapor measurement errorby A. C. Just, Y. Liu, M. Sorek-Hamer, M. Sorek-Hamer, J. Rush, M. Dorman, R. Chatfield, Y. Wang, Y. Wang, A. Lyapustin, I. Kloog“... interpretation tools to illustrate complex patterns of measurement error and describe a positive bias in MAIAC...”
Published 2020-09-01
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3by I. Veselovskii, D. N Whiteman, M. Korenskiy, A. Suvorina, A. Kolgotin, A. Lyapustin, Y. Wang, M. Chin, H. Bian, T. L. Kucsera, D. Pérez-Ramírez, B. Holben“... exponents together with lidar ratios at 355 and 532 nm wavelengths. For interpretation of the observed...”
Published 2015-02-01
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4by M. Xiao, C. R. Hoyle, C. R. Hoyle, L. Dada, D. Stolzenburg, A. Kürten, M. Wang, H. Lamkaddam, O. Garmash, B. Mentler, U. Molteni, A. Baccarini, M. Simon, X.-C. He, K. Lehtipalo, K. Lehtipalo, L. R. Ahonen, R. Baalbaki, P. S. Bauer, L. Beck, D. Bell, F. Bianchi, S. Brilke, D. Chen, R. Chiu, A. Dias, J. Duplissy, J. Duplissy, H. Finkenzeller, H. Gordon, V. Hofbauer, C. Kim, C. Kim, T. K. Koenig, T. K. Koenig, J. Lampilahti, C. P. Lee, Z. Li, H. Mai, V. Makhmutov, H. E. Manninen, R. Marten, S. Mathot, R. L. Mauldin, R. L. Mauldin, W. Nie, A. Onnela, E. Partoll, T. Petäjä, J. Pfeifer, J. Pfeifer, V. Pospisilova, L. L. J. Quéléver, M. Rissanen, M. Rissanen, S. Schobesberger, S. Schuchmann, S. Schuchmann, Y. Stozhkov, C. Tauber, Y. J. Tham, A. Tomé, M. Vazquez-Pufleau, A. C. Wagner, A. C. Wagner, A. C. Wagner, R. Wagner, Y. Wang, L. Weitz, D. Wimmer, D. Wimmer, Y. Wu, C. Yan, P. Ye, P. Ye, Q. Ye, Q. Zha, X. Zhou, A. Amorim, K. Carslaw, J. Curtius, A. Hansel, R. Volkamer, R. Volkamer, P. M. Winkler, R. C. Flagan, M. Kulmala, M. Kulmala, M. Kulmala, M. Kulmala, D. R. Worsnop, D. R. Worsnop, J. Kirkby, J. Kirkby, N. M. Donahue, U. Baltensperger, I. El Haddad, J. Dommen“.... Such quantitative information obtained under controlled laboratory conditions will help the interpretation of future...”
Published 2021-09-01
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5by J. Lampel, J. Lampel, Y. Wang, Y. Wang, A. Hilboll, A. Hilboll, S. Beirle, H. Sihler, H. Sihler, J. Puķīte, U. Platt, U. Platt, T. Wagner“... sunlight and a spectral resolution of 0.6 nm, this effect can be interpreted as a spectral shift of up...”
Published 2017-12-01
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6by S. Hou, W. Zhang, H. Pang, S.-Y. Wu, T. M. Jenk, T. M. Jenk, M. Schwikowski, M. Schwikowski, Y. Wang“... and environmental conditions that extend beyond the instrumental period. However, challenges in dating...”
Published 2019-06-01
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8by Y. Wang, U. Herzschuh, L. S. Shumilovskikh, S. Mischke, H. J. B. Birks, J. Wischnewski, J. Böhner, F. Schlütz, F. Lehmkuhl, B. Diekmann, B. Wünnemann, C. Zhang“... Plateau) reveal variations in pollen assemblages within this large lake, which are interpreted in terms...”
Published 2014-01-01
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9by A. Dallmeyer, M. Claussen, N. Fischer, K. Haberkorn, S. Wagner, M. Pfeiffer, L. Jin, V. Khon, Y. Wang, U. Herzschuh“...The recently proposed global monsoon hypothesis interprets monsoon systems as part of one global...”
Published 2015-02-01
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10by A. Dayalu, A. Dayalu, J. W. Munger, S. C. Wofsy, S. C. Wofsy, Y. Wang, Y. Wang, T. Nehrkorn, Y. Zhao, M. B. McElroy, C. P. Nielsen, K. Luus“... resolution models such as the VPRM are critical for interpreting retrievals from global CO<sub>2</sub...”
Published 2018-11-01
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11by H. Sihler, P. Lübcke, R. Lang, S. Beirle, M. de Graaf, C. Hörmann, J. Lampel, M. Penning de Vries, J. Remmers, E. Trollope, Y. Wang, T. Wagner“... interpreting their data and merging them with other spatially referenced data. Especially for instruments...”
Published 2017-03-01
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