Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction by Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Salih, Roland Yonaba, Ufuk Beyaztas, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

“…The study can be valuable for the areas where the climatological and seasonal variations are studied and will allow providing excellent prediction results with the least error margin and without a huge expenditure.…”
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Evaluation of Zenith Tropospheric Delay Derived from Ray-Traced VMF3 Product over the West African Region Using GNSS Observations by Samuel Osah, Akwasi A. Acheampong, Collins Fosu, Isaac Dadzie

“…The IGS provides highly accurate and highly reliable daily time-series Zenith Tropospheric Delay (ZTD) products using data from the member sites towards the use of GNSS for precise geodetic, climatological, and meteorological applications. However, if for reasons like poor internet connectivity, equipment failure, and power outages, the IGS station is inaccessible or malfunctioning, and gaps are created in the data archive resulting in degrading the quality of the ZTD and precipitable water vapour (PWV) estimation. …”
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Forecast Customization System (FOCUS): A Multimodel Ensemble-Based Seasonal Climate Forecasting Tool for the Homogeneous Climate Zones of Myanmar by Itesh Dash, Masahiko Nagai, Indrajit Pal

“…Based on the homogeneity in terms of the rainfall received annually, the country was divided into six climatological zones. Three different operational MME techniques, namely, (a) arithmetic mean (AM-MME), (b) weighted average (WA-MME), and (c) supervised principal component regression (PCR-MME), were used and built-in to the tool developed. …”
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Estimating ocean heat content from the ocean thermal expansion parameters using satellite data by V. P. Kondeti, S. Palanisamy

“…To achieve this objective, artificial neural network (ANN) models were developed to derive thermosteric sea level (TSL) from a given dataset of sea surface temperature, sea surface salinity, geographical coordinates, and climatological TSL. The model-derived TSL data were further used to estimate OHC changes based on the thermal expansion efficiency of heat. …”
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Environmental vulnerability characteristics in an active swarm region by A.V.H. Simanjuntak, U Muksin, A. Arifullah, K. Lythgoe, Y. Asnawi, M. Sinambela, S. Rizal, S. Wei

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Impact of host climate model on contrail cirrus effective radiative forcing estimates by W. Zhang, K. Van Weverberg, K. Van Weverberg, K. Van Weverberg, C. J. Morcrette, C. J. Morcrette, W. Feng, W. Feng, K. Furtado, K. Furtado, P. R. Field, P. R. Field, C.-C. Chen, A. Gettelman, P. M. Forster, D. R. Marsh, A. Rap

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Socio-economic assessment of drought impacts in Lesotho: implications for early action by Relebohile Agnes Mojaki, Makoala Vitalis Marake, Evan Easton-Calabria, Joalane Rethabile Marunye, Erin Coughlan de Perez

“…Informants also perceived the following actions could be taken before a drought is manifested: clear agro-climatological early warning messages, tailor-made drought-relevant advisories, water harvesting and availability of drought-tolerant seeds. …”
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A topographically controlled tipping point for complete Greenland ice sheet melt by M. Petrini, M. Petrini, M. D. W. Scherrenberg, L. Muntjewerf, L. Muntjewerf, M. Vizcaino, R. Sellevold, G. R. Leguy, W. H. Lipscomb, H. Goelzer

“…To this end, we force the Community Ice Sheet Model v.2 (CISM2) by cycling different SMB climatologies previously calculated at multiple elevation classes with the Community Earth System Model v.2 (CESM2) in a two-way coupled CESM2–CISM2 transient simulation of the global climate and GrIS under high <span class="inline-formula">CO₂</span> forcing. …”
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Climate model downscaling in central Asia: a dynamical and a neural network approach by B. Fallah, B. Fallah, M. Rostami, M. Rostami, E. Russo, P. Harder, C. Menz, P. Hoffmann, I. Didovets, F. F. Hattermann, F. F. Hattermann

“…The mean absolute error and bias of climatological precipitation (mm d<span class="inline-formula">⁻¹</span>) are reduced by 5 mm d<span class="inline-formula">⁻¹</span> for summer and 3 mm d<span class="inline-formula">⁻¹</span> for annual values. …”
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