"PM2.5 / PM10 Ratio Prediction Based on a Long Short-term Memory Neural Network in Wuhan, China" - Interactive discussionhttps://www.geosci-model-dev-discuss.net/gmd-2019-180/2019-12-18T10:39:23+01:00Copernicus Publicationshttps://www.geosci-model-dev-discuss.net/gmd-2019-180/gmd-2019-180-AC2.pdfAC2: 'response letter', Xueling Wu, 16 Dec 2019AC2: 'response letter', Xueling Wu, 16 Dec 2019Xueling Wu2019-12-16T14:17:03+01:002019-12-16T14:17:03+01:00https://www.geosci-model-dev-discuss.net/gmd-2019-180/gmd-2019-180-RC2.pdfRC2: 'Review of PM2.5/PM10 Ratio Prediction Based on a Long Short-term Memory Neural Network inWuhan, China by Wu et al.', Anonymous Referee #2, 11 Dec 2019RC2: 'Review of PM2.5/PM10 Ratio Prediction Based on a Long Short-term Memory Neural Network inWuhan, China by Wu et al.', Anonymous Referee #2, 11 Dec 2019Anonymous Referee #22019-12-11T16:02:41+01:002019-12-11T16:02:41+01:00https://www.geosci-model-dev-discuss.net/gmd-2019-180/gmd-2019-180-AC1.pdfAC1: 'We have revised the manuscript based on the comments. Please see the supplement for the revised manuscript.', Xueling Wu, 22 Nov 2019AC1: 'We have revised the manuscript based on the comments. Please see the supplement for the revised manuscript.', Xueling Wu, 22 Nov 2019Xueling Wu2019-11-22T05:23:13+01:002019-11-22T05:23:13+01:00https://www.geosci-model-dev-discuss.net/gmd-2019-180/gmd-2019-180-SC5.pdfSC5: 'Executive editor comment, code and data availability.', David Ham, 25 Oct 2019SC5: 'Executive editor comment, code and data availability.', David Ham, 25 Oct 2019David Ham2019-10-25T17:08:30+02:002019-10-25T17:08:30+02:00https://www.geosci-model-dev-discuss.net/gmd-2019-180/gmd-2019-180-SC4.pdfSC4: 'An excellent research, but need to make more endeavor', Kaixiang Zhang, 24 Sep 2019SC4: 'An excellent research, but need to make more endeavor', Kaixiang Zhang, 24 Sep 2019Kaixiang Zhang2019-09-24T02:59:41+02:002019-09-24T02:59:41+02:00https://www.geosci-model-dev-discuss.net/gmd-2019-180/gmd-2019-180-SC3.pdfSC3: 'An excellent research', Kaixiang Zhang, 23 Sep 2019SC3: 'An excellent research', Kaixiang Zhang, 23 Sep 2019Kaixiang Zhang2019-09-23T08:16:47+02:002019-09-23T08:16:47+02:00https://www.geosci-model-dev-discuss.net/gmd-2019-180/gmd-2019-180-SC2.pdfSC2: 'Approved with minor edits', xujiao wang, 08 Sep 2019SC2: 'Approved with minor edits', xujiao wang, 08 Sep 2019xujiao wang2019-09-08T16:14:11+02:002019-09-08T16:14:11+02:00https://www.geosci-model-dev-discuss.net/gmd-2019-180/gmd-2019-180-RC1.pdfRC1: 'PM2.5 / PM10 Ratio Prediction Based on a Long Short-term Memory Neural Network in Wuhan, China', Anonymous Referee #1, 04 Sep 2019RC1: 'PM2.5 / PM10 Ratio Prediction Based on a Long Short-term Memory Neural Network in Wuhan, China', Anonymous Referee #1, 04 Sep 2019Anonymous Referee #12019-09-04T09:17:24+02:002019-09-04T09:17:24+02:00https://www.geosci-model-dev-discuss.net/gmd-2019-180/gmd-2019-180-SC1.pdfSC1: 'Comments on "PM2.5 / PM10 Ratio Prediction Based on a Long Short-term Memory Neural Network in Wuhan, China"', Zhexuan Liu, 04 Sep 2019SC1: 'Comments on "PM2.5 / PM10 Ratio Prediction Based on a Long Short-term Memory Neural Network in Wuhan, China"', Zhexuan Liu, 04 Sep 2019Zhexuan Liu2019-09-04T05:07:54+02:002019-09-04T05:07:54+02:00