Synthesis Product for Ocean Time Series (SPOTS) – a ship-based biogeochemical pilot by N. Lange, B. Fiedler, M. Álvarez, A. Benoit-Cattin, H. Benway, P. L. Buttigieg, L. Coppola, L. Coppola, K. Currie, S. Flecha, D. S. Gerlach, M. Honda, I. E. Huertas, S. K. Lauvset, F. Muller-Karger, A. Körtzinger, A. Körtzinger, K. M. O'Brien, K. M. O'Brien, S. R. Ólafsdóttir, F. C. Pacheco, D. Rueda-Roa, I. Skjelvan, M. Wakita, A. White, A. White, T. Tanhua

“…The time series used include a variety of temporal resolutions (monthly, seasonal, or irregular), time ranges (10–36 years), and bottom depths (80–6000 m), with the oldest samples dating back to 1983 and the most recent one corresponding to 2021. …”
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Multi-Source Hydrological Data Products to Monitor High Asian River Basins and Regional Water Security by Massimo Menenti, Xin Li, Li Jia, Kun Yang, Francesca Pellicciotti, Marco Mancini, Jiancheng Shi, Maria José Escorihuela, Chaolei Zheng, Qiting Chen, Jing Lu, Jie Zhou, Guangcheng Hu, Shaoting Ren, Jing Zhang, Qinhuo Liu, Yubao Qiu, Chunlin Huang, Ji Zhou, Xujun Han, Xiaoduo Pan, Hongyi Li, Yerong Wu, Baohong Ding, Wei Yang, Pascal Buri, Michael J. McCarthy, Evan S. Miles, Thomas E. Shaw, Chunfeng Ma, Yanzhao Zhou, Chiara Corbari, Rui Li, Tianjie Zhao, Vivien Stefan, Qi Gao, Jingxiao Zhang, Qiuxia Xie, Ning Wang, Yibo Sun, Xinyu Mo, Junru Jia, Achille Pierre Jouberton, Marin Kneib, Stefan Fugger, Nicola Paciolla, Giovanni Paolini

“…In the Parlung No. 4 Glacier, the accumulated glacier melt was between 1.5 and 2.5 m w.e. in the accumulation zone and between 4.5 and 6.0 m w.e. in the ablation zone, reaching 6.5 m w.e. at the terminus. The seasonality in the glacier mass balance was observed by combining intensive field campaigns with continuous automatic observations. …”
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Improving nitrogen cycling in a land surface model (CLM5) to quantify soil N₂O, NO, and NH₃ emissions from enhanced rock weathering with croplands by M. Val Martin, E. Blanc-Betes, E. Blanc-Betes, K. M. Fung, E. P. Kantzas, I. B. Kantola, I. B. Kantola, I. Chiaravalloti, L. T. Taylor, L. K. Emmons, W. R. Wieder, W. R. Wieder, N. J. Planavsky, M. D. Masters, M. D. Masters, E. H. DeLucia, E. H. DeLucia, E. H. DeLucia, A. P. K. Tai, A. P. K. Tai, D. J. Beerling

“…We successfully validated simulated “control” (i.e., no ERW) seasonal cycles of soil N<span class="inline-formula">₂</span>O, NO, and NH<span class="inline-formula">₃</span> emissions against a wide range of global emission inventories. …”
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Green Buildings and Renewable Energy : Med Green Forum 2019 - Part of World Renewable Energy Congress and Network / by Mediterranean Green Buildings and Renewable Energy Forum (5th : 2019 : Florence, Italy), Sayigh, A. A. M., 1939-, editor 636019

Shortwave and longwave components of the surface radiation budget measured at the Thule High Arctic Atmospheric Observatory, Northern Greenland by D. Meloni, F. Calì Quaglia, F. Calì Quaglia, V. Ciardini, A. Di Bernardino, T. Di Iorio, A. Iaccarino, G. Muscari, G. Pace, C. Scarchilli, A. di Sarra

“…However, only a few sites located in the Arctic region provide long-term time series of SRF allowing for capturing of the seasonality of atmospheric and surface parameters and for carrying out validation of satellite products and/or reanalyses.…”
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Cronología de la regeneración del bosque tropical seco en Santa Rosa, Guanacaste, Costa Rica: II. La vegetación en relación con el suelo by Jorge A Leiva, Oscar J Rocha, Rafael Mata, Marco V Gutiérrez-Soto

“…We analyzed the effect of soil type on forest structure and diversity. Eight seasonally-dry TDF sites located along a successional chrono-sequence (10, 15, 20, 40, 60 and >100 years) were examined in relation to 17 soil pedons and six soil orders. …”
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Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022 by M. Li, M. Li, M. Li, S. Cao, S. Cao, S. Cao, Z. Zhu, Z. Zhu, Z. Zhu, Z. Wang, Z. Wang, Z. Wang, R. B. Myneni, S. Piao, S. Piao, S. Piao

“…A total of 3.6 million Landsat NDVI samples that were well spread across the globe were extracted for vegetation biomes in all seasons. The PKU GIMMS NDVI exhibits higher accuracy than its predecessor (GIMMS NDVI3g) in terms of <span class="inline-formula"><i>R</i>²</span> (0.97 over 0.94), root mean squared error (RMSE: 0.05 over 0.09), mean absolute error (MAE: 0.03 over 0.07), and mean absolute percentage error (MAPE: 9 % over 20 %). …”
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Whole genome analysis of rotavirus strains circulating in Benin before vaccine introduction, 2016–2018 by Jijoho Michel Agbla, Mathew D. Esona, Jose Jaimes, Rashi Gautam, Alidéhou Jerrold Agbankpé, Eric Katz, Tamegnon Victorien Dougnon, Annick Capo-Chichi, Nafissatou Ouedraogo, Osseni Razack, Honoré Sourou Bankolé, Michael D. Bowen

“…Here we report, the whole-gene characterization (11 ORFs) for 72 randomly selected RVA strains of common and unusual genotypes collected in Benin from the 2016 to 2018 seasons. The sequenced strains were 15 G1P[8], 20 G2P[4], 5 G9P[8], 14 G12P[8], 9 G3P[6], 2 G1P[6], 3 G2P[6], 2 G9P[4], 1 G12P[6], and 1 G1G9P[8]/P[4]. …”
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Non-volatile marine and non-refractory continental sources of particle-phase amine during the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) by V. Z. Berta, L. M. Russell, D. J. Price, D. J. Price, C.-L. Chen, A. K. Y. Lee, P. K. Quinn, T. S. Bates, T. S. Bates, T. G. Bell, T. G. Bell, M. J. Behrenfeld

“…FTIR NV amine group mass concentrations in <span class="inline-formula">&lt;0.18</span> and <span class="inline-formula">&lt;0.5</span> <span class="inline-formula">µm</span> particle samples in marine air masses likely have a biogenic secondary source associated with strong correlations with FTIR NV acid groups, which are not present for <span class="inline-formula">&lt;1</span> <span class="inline-formula">µm</span> particle samples. The average seasonal contribution of AMS NR amine fragments and FTIR NV amine groups ranged from <span class="inline-formula">27±57</span> % amine from primary marine sources and <span class="inline-formula">73±152</span> % secondary continental amine during early spring to <span class="inline-formula">53±76</span> % amine from primary marine sources and <span class="inline-formula">47±68</span> % secondary continental amine during winter. …”
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Study of Minimum temperature variations in the northwest of the country using the HadCM3 and MPEH5 global output models statistical output statistics by Naser Jafarbegloo, Ali Mohammad khorshiddoust, majid rezaei banafsheh, Hashem Rostamzadeh

“…It can also reduce snowfall, followed by frost on crops and lack of water in dry seasons. Therefore, due to the fact that following the climate changes, the conditions of the agricultural climatology are also changing, it is necessary for the relevant officials and planners in the agricultural sectors to adopt the necessary strategies to reduce the consequences and adapt to the new climate.…”
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Past and future climate change effects on the thermal regime and oxygen solubility of four peri-alpine lakes by O. Desgué-Itier, L. Melo Vieira Soares, O. Anneville, D. Bouffard, D. Bouffard, V. Chanudet, P. A. Danis, P. A. Danis, I. Domaizon, J. Guillard, T. Mazure, N. Sharaf, N. Sharaf, F. Soulignac, V. Tran-Khac, B. Vinçon-Leite, J.-P. Jenny

“…Here, we evaluate the possibility of forcing mechanistic models by following the long-term evolution of shortwave radiation and air temperature while providing realistic seasonal trends for the other variables for which local-scale downscaling often lacks accuracy. …”
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The German-Tanzanian Tendaguru Expedition 2000 by W.-D. Heinrich, R. Bussert, M. Aberhan, O. Hampe, S. Kapilima, E. Schrank, S. Schultka, G. Maier, E. Msaky, B. Sames, R. Chami

“…Sedimentological indicators of palaeoclimate and palynological data point to a subtropical to tropical climate with pronounced dry seasons. In concert with sedimentological data, quantitative palaeoecological analysis of macroinvertebrates helped to finetune understanding of environmental factors such as substrate conditions, salinity, sedimentation rate and water depth. …”
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A snow and glacier hydrological model for large catchments – case study for the Naryn River, central Asia by S. Shannon, S. Shannon, A. Payne, A. Payne, J. Freer, J. Freer, J. Freer, G. Coxon, G. Coxon, M. Kauzlaric, D. Kriegel, S. Harrison

“…The model reproduces the spatial extent in seasonal snow cover well when evaluated against MODIS snow extent; 86 % of the snow extent is captured (mean 2001–2007) for the median ensemble member of the best 0.5 % calibration simulations.…”
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Reclutamiento de corales pétreos en arrecifes coralinos a diferentes distancias de fuentes de contaminación en La Habana, Cuba Stony coral recruitment in coral reefs at different d... by Pedro Alcolado-Prieto, Hansel Caballero Aragón, Pedro M. Alcolado, Alexander Lopeztegui Castillo

“…The density of recruit species was higher in October 2007 and lower in May 2008, and it was apparently influenced by reproduction and cold front seasons, respectively. The higher dominance and abundance of S. siderea, S. radians and P. astreoides recruits were apparently due to their high reproductive potential and resistance to disturbances. …”
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Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data by D. Singh, D. Singh, M. Vardhan, R. Sahu, D. Chatterjee, P. Chauhan, S. Liu

“…Predicted declines in the Sutlej River streamflow over the pre-monsoon (April to June) and winter (December to March) seasons might have a significant impact on agriculture downstream of the river, which is already having problems due to water restrictions at this time of year. …”
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Dinámica poblacional de Donax dentifer (Veneroida: Donacidae) en Bahía Málaga, Pacífico colombiano durante el fenómeno "El Niño" 1997/1998 by José M. Riascos, H. Jörg Urban

“…Results indicate a continuous reproduction cycle with two annual spawning seasons in December and March. The growth parameters of the non-oscillating von Bertalanffy growth funetion were K= 0.62 yr-1 and L&#8734; = 29.3 mm. …”
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Biologia de Anopheles (Kerteszia) neivai H., D. & K., 1913 (Diptera: Culicidae) en la costa Pacífica de Colombia: II. Fluctuación de la población adulta Biologia do Anopheles (Kert... by Rodrigo Astaiza V., César Murillo B., Paulina Fajardo O.

“…The stage of ovarian development of females collected during the peaks of activity revealed two different mosquito populations: one group consisting almost entirely of young individuals seeking a blood meal at sunset and a second group containing almost all older individuals, seeking it at dawn. Seasonal variation indicated that during the months of low rainfall, mosquito populations were sparser, but as rainfall increased the mosquito population also increased. …”
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Estimated regional CO₂ flux and uncertainty based on an ensemble of atmospheric CO₂ inversions by N. Chandra, P. K. Patra, P. K. Patra, P. K. Patra, Y. Niwa, A. Ito, Y. Iida, D. Goto, S. Morimoto, M. Kondo, M. Takigawa, T. Hajima, M. Watanabe, M. Watanabe

“…Interannual variability and seasonal cycle in CO<span class="inline-formula">₂</span> fluxes are more consistently derived for two distinct prior fluxes when a greater degree of freedom (increased prior flux uncertainty) is given to the inversion system. …”
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Cultivating risk : weather insurance, technology and financialization in India by Sheth, Alpen Suresh

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Barriers and facilitators to healthcare workers’ adherence with infection prevention and control (IPC) guidelines for respiratory infectious diseases: a rapid qualitative evidence... by Houghton, C, Meskell, P, Delaney, H, Smalle, M, Glenton, C, Booth, A, Chan, XHS, Devane, D, Biesty, LM

“…The studies explored the views and experiences of nurses, doctors and other healthcare workers when dealing with severe acute respiratory syndrome (SARS), H1N1, MERS (Middle East respiratory syndrome), tuberculosis (TB), or seasonal influenza. Most of these healthcare workers worked in hospitals; others worked in primary and community care settings. …”