ClimatePub Date : 2024-04-24DOI: 10.3390/cli12050058
Faisal Nadeem, Brent Jacobs, Dana Cordell
{"title":"Adapting to Climate Change in Vulnerable Areas: Farmers’ Perceptions in the Punjab, Pakistan","authors":"Faisal Nadeem, Brent Jacobs, Dana Cordell","doi":"10.3390/cli12050058","DOIUrl":"https://doi.org/10.3390/cli12050058","url":null,"abstract":"Climate variability and change pose a substantial threat to agricultural practices and livelihoods in the Punjab province of Pakistan, a region of agricultural significance in South Asia. In particular, farmers residing in vulnerable parts of Punjab will be affected by a combination of high exposure to the impacts of climate events, the innate sensitivity of agricultural systems, and constraints on farmers’ adaptive capacity. The situation requires closer engagement with vulnerable farming communities of Punjab to assess their vulnerability and build their capacity for adaptation actions. Through qualitative analysis of semi-structured interviews with farmers from four highly vulnerable districts of Punjab (Rajanpur, Muzaffargarh, Chakwal, Dera Ghazi Khan), we explored farmers’ perceptions of climate change, their adaptation strategies, and enablers and limitations on adaptation options imposed by the enabling environment. We found issues around water governance, knowledge exchange, and market arrangements for crops as key limitations to farmers’ local adaptation action in highly resource-constrained settings. Moreover, the results indicated the need to address equity issues for small-scale compared to large-scale farmers. Farmers valued their experience-based local knowledge and peer-to-peer sharing networks as pivotal resources in pursuit of their practice-based learning. The research findings highlighted the necessity of directed institutional assistance to empower adaptation by vulnerable small-scale farmers. This study emphasizes the critical significance of the enabling environment that facilitates vulnerable farmers to implement adaptation strategies, thereby promoting the adoption of Vulnerable-Smart Agriculture.","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140663625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ClimatePub Date : 2024-04-24DOI: 10.3390/cli12050059
Purity Maina, Anett Parádi-Dolgos
{"title":"The Effectiveness of Climate Adaptation Finance and Readiness on Vulnerability in African Economies","authors":"Purity Maina, Anett Parádi-Dolgos","doi":"10.3390/cli12050059","DOIUrl":"https://doi.org/10.3390/cli12050059","url":null,"abstract":"Addressing climate vulnerability remains a priority for economies globally. This study used the panel-corrected standard error (PCSE) methodology to investigate the impact of adaptation financing on climate vulnerability. This analysis examined 52 African countries from 2012 to 2021 while considering their climate adaptation readiness. The impact was also assessed based on the Human Development Index (HDI) categories to reflect different levels of development. The findings showed that adaptation finance considerably influenced climate vulnerability reduction in Africa, particularly in nations with a moderate HDI. However, most countries still need higher levels of adaptation financing, resulting in a small impact on vulnerability reduction. Furthermore, the impact of readiness measures differed by HDI category. Economic and social climate readiness strongly impacted climate vulnerability in high-HDI nations, but governance preparedness was more critical in low-HDI countries. Based on the empirical facts, two policy proposals emerge. First, it is critical to reconsider the distribution of adaptation financing to reduce disparities and effectively alleviate climate vulnerability. Moreover, African economies should consider implementing innovative localized financing mechanisms to mobilize extra adaptation finance. Second, African governments should customize climate readiness interventions based on their HDI levels to improve the achievement of a positive impact on climate vulnerability.","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140663417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ClimatePub Date : 2024-04-23DOI: 10.3390/cli12050057
Caitlin E. Pike, Amy D. Lykins, Warren Bartik, Phillip J. Tully, S. Cosh
{"title":"Climate Change in Rural Australia: Natural Hazard Preparedness and Recovery Needs of a Rural Community","authors":"Caitlin E. Pike, Amy D. Lykins, Warren Bartik, Phillip J. Tully, S. Cosh","doi":"10.3390/cli12050057","DOIUrl":"https://doi.org/10.3390/cli12050057","url":null,"abstract":"Climate change has resulted in a worldwide increase in intensity and frequency of extreme weather events including bushfires. Previous research has shown that communities often do not engage in disaster preparedness, even when sufficient education and resources are provided. With the projected increase in natural disasters, preparedness is paramount, and more research is needed to gain an understanding into what impacts community preparedness in the face of climate change. This study investigated one rural Australian community’s preparedness for the 2019–2020 bushfires. Thirteen Australian adults who resided within a small rural community in New South Wales during the 2019–2020 bushfires participated in semi-structured interviews. Data were analysed using inductive thematic analysis. Participants reported being unprepared for the 2019–2020 bushfires and that the community has started to prepare for future bushfires. However, they also described a belief in ‘climate cycles’ rather than climate change, limiting engagement in preparedness for future hazards. Participants also reported that they did not talk about the 2019–2020 bushfires, although described experiencing residual anxiety. Recommendations included support needed for rural communities to help with future preparedness efforts and mental health symptoms.","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140670745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Characteristics of Foehn Wind in Urumqi, China, and Their Relationship with EI Niño and Extreme Heat Events in the Last 15 Years","authors":"Maoling Ayitikan, Xia Li, Yusufu Musha, Qing He, Shuting Li, Yuting Zhong, Kai Cheng","doi":"10.3390/cli12040056","DOIUrl":"https://doi.org/10.3390/cli12040056","url":null,"abstract":"Dry and hot Foehn wind weather often occurs in Urumqi, China, due to its canyon terrain. This directly impacts the lives and health of local people. Using surface meteorological variables (including the hourly wind, temperature, humidity, and pressure) measured in situ at the Urumqi Meteorological Station and ERA5 reanalysis from the European Centre for Medium-Range Weather Forecasts in the past 15 years (2008–2022), the characteristics of Foehn wind and their relationship with EI Niño and extreme high-temperature events in Urumqi are analyzed. The results show that the annual distributions of Foehn wind present a fluctuating pattern, and the highest frequency occurred in 2015. Compared to the summer (July) and winter (February) seasons, Foehn wind occurs most frequently in spring (March, April, May) and autumn (September, October, and November). Daily variations in Foehn wind occur most frequently from 9:00 a.m. to 14:00 p.m. In particular, high levels are found at 10:00 a.m. and 11:00 a.m. in April and May. In 2011, 2012, and 2014, the average wind speed of FW exceeded 6 m/s, and the lowest average wind speed was 3.8 m/s in 2021. The temperature and relative humidity changes (ΔT and ΔRH) caused by Foehn wind are the most significant in winter and when Foehn wind begins to occur. The high-temperature hours related to Foehn wind weather in Urumqi represented 25% of the total in the past 15 years. During the EI Niño period, the amount of Foehn wind in Urumqi significantly increased; The correlation coefficient beteewn slide anomaly of Foehn days and the Oceanic Niño Index is as high as 0.71. Specifically, Foehn wind activity aggravates extreme high-temperature events. This study provides indications for Foehn wind weather forecasting in Urumqi.","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140683078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ClimatePub Date : 2024-04-18DOI: 10.3390/cli12040055
Joachim Vercruysse, G. Deruyter, Renaat De Sutter, L. Boelens
{"title":"Visualising the Complexity of Drought: A Network Analysis Based on the Water Resilience Assessment Framework and the Actor-Relational Approach","authors":"Joachim Vercruysse, G. Deruyter, Renaat De Sutter, L. Boelens","doi":"10.3390/cli12040055","DOIUrl":"https://doi.org/10.3390/cli12040055","url":null,"abstract":"This paper discusses the increasing severity of droughts due to climate change. It emphasises the complexity of defining drought and the diverse perspectives among stakeholders. Lots of stakeholders with unclear responsibilities are involved, which can lead to uncertainty and indecisiveness in addressing the issue. To tackle this, the present paper proposes a methodology to dissect drought systems and reveal the intricate relationships between their components. This approach combines a comprehensive definition of drought with the “Water Resilience Assessment Framework” and an “Actor-Relational Approach”, visualised through network analysis. The methodology was applied to a case study situated in the Leie Basin of Flanders, Belgium. By employing this strategy, policymakers and mediators can gain a deeper understanding of drought, identify its root causes, and prioritise necessary changes for more effective drought and water management.","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140687388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ClimatePub Date : 2024-04-10DOI: 10.3390/cli12040054
Zhi-Weng Chua, Yuriy Kuleshov, J. Bhardwaj
{"title":"Using Calibrated Rainfall Forecasts and Observed Rainfall to Produce Probabilistic Meteorological Drought Forecasts","authors":"Zhi-Weng Chua, Yuriy Kuleshov, J. Bhardwaj","doi":"10.3390/cli12040054","DOIUrl":"https://doi.org/10.3390/cli12040054","url":null,"abstract":"Most existing drought forecast systems rely only on observed or forecast rainfall, losing valuable context gained from considering both. The lack of a direct link between observed and forecast rainfall reduces the physical consistency of a system, motivating the development of a methodology that can directly link the two. The methodology developed in this study allows the comparison of the calibrated ensemble forecasts of rainfall totals from a dynamical climate model to observed rainfall deficiencies from a gridded rainfall analysis. The methodology is used to create a probabilistic product that forecasts the chance of entering meteorological drought, with lead times of one month (monthly forecast) and three months (seasonal forecast). Existing deficiency areas are included to facilitate analysis of how these areas are forecast to change. The performance of the developed methodology was verified using Percent Correct (PC), Brier Score (BS), and Relative Operating Characteristic (ROC) statistics. Analysis of the forecast plots was also completed visually. Forecast performance for areas with existing deficiencies as well as for non-deficiency areas was promising (PC rates of >79% and >97%, respectively). Although PC rates for observed deficiencies were low across most months, the mean forecast probability for these areas was 36%, indicating the system had value and outperformed climatology. A calibrated, coupled product like the one scoped in this study has not been explored and we note that it could be an invaluable tool for quantifying meteorological drought onset and persistence in Australia.","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140719371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ClimatePub Date : 2024-04-09DOI: 10.3390/cli12040053
Fausto Favero, Jochen Hinkel
{"title":"Key Innovations in Financing Nature-Based Solutions for Coastal Adaptation","authors":"Fausto Favero, Jochen Hinkel","doi":"10.3390/cli12040053","DOIUrl":"https://doi.org/10.3390/cli12040053","url":null,"abstract":"The implementation of nature-based solutions (NBSs) for coastal adaptation to climate change is limited by a well-documented lack of finance. Scholars agree that financial innovation represents a solution to this problem, particularly due to its potential for mobilising private investments. It remains unclear however how exactly innovative solutions address the specific barriers found in NBS implementation and, given the distinctive local characteristics of NBSs, to what extent successful innovations can be replicated in other locations. This study addresses this issue by reviewing the literature and case studies of innovative financial solutions currently implemented in NBS projects, highlighting which financial barriers these arrangements address and which contextual conditions affect their applicability. We find that there is no “low-hanging fruit” in upscaling finance in NBSs through financial innovation. Innovative solutions are nevertheless expected to become more accessible with the increase in NBS project sizes, the increased availability of data on NBS performance, and the establishment of supportive policy frameworks. The flow of finance into NBS projects can be further enhanced through the external support of both public (de-risking and regulation) and private actors (financial expertise).","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140722485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ClimatePub Date : 2024-04-09DOI: 10.3390/cli12040052
S. G. Lakkis, P. Canziani, A. Yuchechen
{"title":"Unlocking Weather Observations at Puerto Madryn-Patagonia, Argentina, 1902–1915","authors":"S. G. Lakkis, P. Canziani, A. Yuchechen","doi":"10.3390/cli12040052","DOIUrl":"https://doi.org/10.3390/cli12040052","url":null,"abstract":"The recovery of early records of maximum, minimum, and mean temperatures; pressure; and relative humidity measurements in Puerto Madryn for the period 1902–1915 is presented. A careful evaluation of the quality of the data was performed using internal coherence, tolerance, and temporal consistency tests. The monthly mean series of all the variables, constructed from daily raw data, were subject to several homogeneity tests, and only discontinuities in pressure and relative humidity were found. The homogenized monthly mean series were compared with the Twentieth Century Reanalysis series in annual and seasonal time steps. In addition, the trends of each variable were assessed using the Mann–Kendall procedure, and correlations between relative humidity and the other variables were examined. The results show a remarkably good agreement between the temperature measurements and reanalysis values with a Spearman correlation coefficient of 0.94. The raw data for minimum and maximum temperatures represent a very good upper and lower bound for the mean temperature values of both observational and reanalysis data. Agreement was found to be lower for relative humidity and pressure with the correlation coefficients being close to 0.6 in both cases. No trends were found for the variables. The correlation analysis of the humidity measurements with the other variables shows an inverse dependence of the temperatures and no relatedness with the pressure values.","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140721870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ClimatePub Date : 2024-04-09DOI: 10.3390/cli12040051
P. Canziani, S. G. Lakkis, A. Yuchechen, Oscar Bonfilli
{"title":"Unlocking Weather Observations at the End of the World: Late-XIX and Early-XX Century Monthly Mean Temperature Climatology for Southern Patagonia","authors":"P. Canziani, S. G. Lakkis, A. Yuchechen, Oscar Bonfilli","doi":"10.3390/cli12040051","DOIUrl":"https://doi.org/10.3390/cli12040051","url":null,"abstract":"A climate analysis of the monthly mean temperatures of Southern Patagonia during the late-XIXth and early-XXth centuries was carried out as part of the international data rescue Atmospheric Circulation Reconstructions over the Earth (ACRE) program partnership in Argentina, together with other data sources with regional and global records. The data from these diverse sources were combined to carry out a study in the coastal region of Patagonia, including Tierra del Fuego, between 42° S and 55° S for 11 locations. Furthermore, HadSST monthly/seasonal fields during the period 1880–1920 were also used. Both mean monthly and seasonal temperature values and timeseries variability were considered. Their analysis shows consistent behavior within the study region and compared to Southern Hemisphere mean results, which are characterized by a warm late-XIX century and a cooler early-XX century. This is also in agreement with SST variability along the coasts of Patagonia and hemispheric records. A comparison with present-day observations, where available, also yields consistent behavior. Low-frequency variability, i.e., in periods longer than 3 years, during the study period is consistent with present variability. Trend estimates at Trelew and Rio Gallegos for the period 1901–2020 yield significant trends, consistent with hemispheric warming at their latitudes.","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140720857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ClimatePub Date : 2024-04-08DOI: 10.3390/cli12040049
M. Speer, J. Hartigan, Lance M. Leslie
{"title":"Machine Learning Identification of Attributes and Predictors for a Flash Drought in Eastern Australia","authors":"M. Speer, J. Hartigan, Lance M. Leslie","doi":"10.3390/cli12040049","DOIUrl":"https://doi.org/10.3390/cli12040049","url":null,"abstract":"Flash droughts (FDs) are natural disasters that strike suddenly and intensify quickly. They occur almost anywhere, anytime of the year, and can have severe socio-economic, health and environmental impacts. This study focuses on a recent FD that began in the cool season of the Upper Hunter region of Eastern Australia, an important energy and agricultural local and global exporter that is both flood- and drought-prone. Here, the authors investigate the FD that started abruptly in May 2023 and extended to October 2023. The FD followed floods in November 2021 and much above-average May–October 2022 rainfall. Eight machine learning (ML) regression techniques were applied to the 60 May–October periods from 1963–2022, using a rolling windows attribution search from 45 possible climate drivers, both individually and in combination. The six most prominent climate drivers, and likely predictors, provide an understanding of the major contributors to the FD. Next, the 1963–2022 data were divided into two shorter timespans, 1963–1992 and 1993–2022, generally accepted as representing the early and accelerated global warming periods, respectively. The key attributes were markedly different for the two timespans. These differences are readily explained by the impacts of global warming on hemispheric and synoptic-scale atmospheric circulations.","PeriodicalId":504716,"journal":{"name":"Climate","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140731095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}