Article
Agronomy
Iphigenia Keramitsoglou, Panagiotis Sismanidis, Olga Sykioti, Vassilios Pisinaras, Ioannis Tsakmakis, Andreas Panagopoulos, Argyrios Argyriou, Chris T. Kiranoudis
Summary: A new satellite-enabled interoperable service called SENSE-GDD has been developed to provide high-resolution and continuous time series of Growing Degree Days (GDDs) at the field level. Using MSG-SEVIRI data acquired by the EUMETCast station, the service calculates GDDs and downscales them on-the-fly to improve the spatial resolution. The reliability of SENSE-GDD in deriving accurate GDD timeseries at key phenological stages is assessed using in situ air temperature measurements from weather stations in vineyards and an apple orchard in Greece, and the assessment shows promising results.
Article
Agronomy
Grzegorz P. Lysiak
Summary: The study found that the optimal harvest date for storing 'Conference' pears in a controlled atmosphere room is before they enter the climatic maturation phase. The degree-day method, which calculates the sum of active temperatures, is accurate in determining the optimal harvest date.
Article
Agriculture, Multidisciplinary
Binxiang Qian, Wenjiang Huang, Donghui Xie, Huichun Ye, Anting Guo, Yuhao Pan, Yin Jin, Qiaoyun Xie, Quanjun Jiao, Biyao Zhang, Chao Ruan, Tianjun Xu, Yong Zhang, Tiange Nie
Summary: A improved crop growth model is proposed in this study, which can simulate and visualize the structural parameters of the maize canopy at different levels. The results show that the model has high accuracy and stability in simulating the canopy parameters.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Environmental Sciences
Shicheng Liao, Xiong Xu, Huan Xie, Peng Chen, Chao Wang, Yanmin Jin, Xiaohua Tong, Changjiang Xiao
Summary: Using a modified shape model combined with continuous AGDD calculation improves the prediction of phenological periods compared to traditional methods. The method proposed in this paper provides more accurate estimation for cases where daily average temperature may not accurately reflect the accumulated temperature needed for crop growth.
Article
Horticulture
Marcelo H. Amaral, Cameron McConchie, Geoffrey Dickinson, Kerry B. Walsh
Summary: This study aimed to improve the estimation of harvest maturity for Australian mango cultivars by using accumulated growing degree days (GDD) and proposing a new algorithm that takes into account both high and low temperatures. The required heat units (GDD) for maturity from asparagus stage of flowering were 2185, 1728, and 1740 for Keitt, Calypso, and Honey Gold, respectively. Additionally, a flesh color harvest maturity card specification of 9 for Honey Gold and 13 for Keitt was proposed.
Article
Multidisciplinary Sciences
Saleh Al-Saadi, Ghazi Al-Rawas, Luminda Gunawardhana, Nahla Al-Farsi, Haitham Al-Kalbani
Summary: In this study, five models were evaluated for predicting cooling degree days (CDD) and heating degree days (HDD) in Oman, and regression models were developed for these variables. Four climate zones were identified for Oman based on this research.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Entomology
Lorenzo Franceschetti, Jennifer Pradelli, Fabiola Tuccia, Giorgia Giordani, Cristina Cattaneo, Stefano Vanin
Summary: The post mortem interval (PMI) is crucial in death investigations, with methods such as total body score (TBS)/accumulated degree-days (ADDs) and insect development being commonly used. This study compared the two methods in 30 forensic cases in northern Italy, emphasizing the importance of the entomological approach and the limits of the TBS/ADD method. Further research on different taxa is needed to improve the accuracy of PMI estimation based on the entomological approach, especially in indoor conditions.
Article
Energy & Fuels
Martin Densing, Yi Wan
Summary: This study introduces a method using principal component analysis to generate representative days of wind and solar power availability. The low-dimensional scenarios generated by PCA can be used in energy system models to analyze the impact of solar and wind power. The strengths and limitations of this method are compared with hierarchical clustering.
Article
Biophysics
Antonio Marcos Massao Hachisuca, Mahuan Capeletto Abdala, Eduardo Godoy de Souza, Marlon Rodrigues, Diandra Ganascini, Claudio Leones Bazzi
Summary: Monitoring the climate conditions of crops is crucial for smart agriculture development and adaptation in the era of global change. This study analyzed the growing degree-hours and degree-days of wheat in two management zones and used low-cost agroclimatological stations for monitoring field production. The results showed the importance of evaluating agroclimatological parameters for monitoring wheat crops.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Thermodynamics
Qinglong Meng, Yuan Xi, Xingxing Zhang, Monjur Mourshed, Yue Hui
Summary: By incorporating more detailed independent variables into the model, the proposed 3PH-MVR method in estimating base temperature for heating demand prediction shows a higher accuracy compared to traditional approaches. The relationships between base temperature and annual HDD, building location, and solar insolation were evaluated in this study.
BUILDING SIMULATION
(2021)
Article
Engineering, Electrical & Electronic
Shengpu Gao, Bo Hu, Kaigui Xie, Tao Niu, Chunyan Li, Jiahao Yan
Summary: This paper proposes a spectral clustering based demand-oriented representative days selection method, which extracts feature vectors and partitions graphs using spectral clustering to accurately capture the demand for adequacy and flexibility in system scheduling. The superior performance of SCDOR is demonstrated through case studies on the Texas power system and IEEE RTS-79 system with different levels of modeling complexity.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Construction & Building Technology
Farshad Kheiri, Jeff S. Haberl, Juan -Carlos Baltazar
Summary: This paper proposes a new method, the split-degree day method, which shows improved accuracy in building energy use estimation compared to conventional degree day methods. The method takes into account more weather-related information, resulting in more accurate estimations in various applications.
ENERGY AND BUILDINGS
(2023)
Article
Thermodynamics
Yan Liu, Zeqiu Wen, Kailin Lyu, Liu Yang, Jiaping Liu, Hong Dong, Qinglong Gao
Summary: Building thermal climatic zoning is crucial for building energy efficiency. The use of heating degree days (HDD) and cooling degree days (CDD) in climatic zoning may oversimplify regions with complex climates. This study assessed the application of degree days in China's current building thermal climatic zoning and found that alternative or complementary indexes, such as the winter climatic severity index or daily global solar radiation and altitude, should be considered in regions with varying altitudes. Additionally, the base temperature for CDD in the official climatic zoning should be adjusted to a range of 18-22 degrees Celsius. This research provides guidance for improving thermal climatic zoning in regions with similar climates.
JOURNAL OF THERMAL SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Hayder Salem, Khalil Khanafer, Mohammad Alshammari, Ahmad Sedaghat, Salah Mahdi
Summary: The degree days method is a useful and simplified approach for assessing building energy estimates. This paper presents cooling degree day values for GCC capitals, providing valuable insights for engineers and policymakers to evaluate energy demands and costs. The results showed a correlation between CDDs and detailed cooling load simulations, with varying cooling costs across different GCC countries.
Article
Environmental Sciences
Ioannis Charalampopoulos, Iliana Polychroni, Emmanouil Psomiadis, Panagiotis Nastos
Summary: The research focuses on constructing simple and reliable equations for calculating and projecting the growing degree days for olive and vine cultivations in the Balkans. Results show that time is the most influential parameter, followed by latitude, for both crops.
Article
Geography, Physical
Tuukka Petaja, Kirill S. Ganzei, Hanna K. Lappalainen, Ksenia Tabakova, Risto Makkonen, Jouni Raisanen, Sergey Chalov, Markku Kulmala, Sergej Zilitinkevich, Petr Ya Baklanov, Renat B. Shakirov, Natalia V. Mishina, Evgeny G. Egidarev, Igor I. Kondrat'ev
Summary: The Russian Far East region has diverse climates, with the south influenced by monsoons and the north affected by the Arctic Ocean and cold air masses. Increasing economic activities and transportation linked to China's Belt and Road Initiative, coupled with climate change, are putting pressure on the environment in the region. Improving measurement capabilities for atmospheric and environmental pollution is urgently needed, along with integrated observations to support decision-making processes.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Meteorology & Atmospheric Sciences
Jouni Raisanen
Summary: The study showed that atmospheric circulation had a minor impact on annual mean temperature trends in most areas, but had a significant effect on seasonal and monthly temperature trends. Removing the effect of circulation changes resulted in residual trends with a smoother annual cycle, which aligned better with model trends from CMIP5.
Article
Meteorology & Atmospheric Sciences
Kimmo Ruosteenoja, Jouni Raisanen
Summary: Monthly and annual mean temperatures observed in Finland from 1901 to 2018 were compared with simulations from 28 global climate models, with regression analysis used to study the dynamics behind the differences. The study found that the increase in multi-GCM mean temperature agrees well with observed warming trends, particularly after 2000. A regression model using European-Northeast Atlantic sea-level pressure fields showed promising results in explaining the differences in temperature evolution between GCM-mean and observed data.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Jouni Raisanen
Summary: The resampling ensemble technique proposed in this study shows reliable probabilistic forecasts for near-term climate change, particularly in temperature change. However, the forecasts for precipitation change have less accuracy due to the lower signal-to-noise ratio of precipitation and the uncertainty in observation data.
Article
Meteorology & Atmospheric Sciences
Kimmo Ruosteenoja, Kirsti Jylha
Summary: This study examines heatwaves in Europe at different levels of global warming using data from 60 simulations with 25 global climate models. The results show that heatwave days in northern Europe could increase three to fourfold, while southern Europe may experience an increase of more than sixfold. The intensity of heatwaves in the south is also projected to be tenfold higher. The study discusses factors that contribute to the stronger increase in heatwave duration and extremity in southern Europe compared to the north.
Article
Geosciences, Multidisciplinary
Havu Pellikka, Milla M. Johansson, Maaria Nordman, Kimmo Ruosteenoja
Summary: This study explores past trends and future projections of mean sea level in the Finnish coast of the northeastern Baltic Sea. The relative sea level change is decomposed into regional sea level rise, postglacial land uplift, and the effect of changes in wind climate. Future projections are constructed by combining global sea level rise projections and climate model results, yielding probability distributions of sea level change for different emission scenarios.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Geography, Physical
Jouni Raisanen
Summary: Changes in total precipitation, fraction of precipitation as snowfall, and fraction of accumulated snowfall remaining on the ground contribute to trends in snow water equivalent (SWE) in the Northern Hemisphere in March. The majority of the Northern Hemisphere experiences a decrease in SWE, mainly driven by reductions in snowfall fraction and accumulated snowfall, while total precipitation shows mostly positive trends. There is spatial variability and variation among the different data sets and models, but overall agreement is reasonable.
Article
Environmental Sciences
Stefan Fronzek, Yasushi Honda, Akihiko Ito, Joao Pedro Nunes, Nina Pirttioja, Jouni Raisanen, Kiyoshi Takahashi, Emma Terama, Minoru Yoshikawa, Timothy R. Carter
Summary: Estimates of future climate change impacts can be made more accurate by using large ensembles of projections and incorporating adaptation strategies. This study demonstrates an approach that combines model-based impact response surfaces (IRSs) with probabilistic projections of climate change and population to estimate the likelihood of exceeding pre-specified thresholds of impact. The results of simulations in European case study regions show high likelihoods of increased heat-related human mortality and decreased crop yields, highlighting the importance of proactive adaptation measures.
CLIMATE RISK MANAGEMENT
(2022)
Article
Environmental Sciences
Hanna K. Lappalainen, Tuukka Petaja, Timo Vihma, Jouni Raisanen, Alexander Baklanov, Sergey Chalov, Igor Esau, Ekaterina Ezhova, Matti Lepparanta, Dmitry Pozdnyakov, Jukka Pumpanen, Meinrat O. Andreae, Mikhail Arshinov, Eija Asmi, Jianhui Bai, Igor Bashmachnikov, Boris Belan, Federico Bianchi, Boris Biskaborn, Michael Boy, Jaana Back, Bin Cheng, Natalia Chubarova, Jonathan Duplissy, Egor Dyukarev, Konstantinos Eleftheriadis, Martin Forsius, Martin Heimann, Sirkku Juhola, Vladimir Konovalov, Igor Konovalov, Pavel Konstantinov, Kajar Koster, Elena Lapshina, Anna Lintunen, Alexander Mahura, Risto Makkonen, Svetlana Malkhazova, Ivan Mammarella, Stefano Mammola, Stephany Buenrostro Mazon, Outi Meinander, Eugene Mikhailov, Victoria Miles, Stanislav Myslenkov, Dmitry Orlov, Jean-Daniel Paris, Roberta Pirazzini, Olga Popovicheva, Jouni Pulliainen, Kimmo Rautiainen, Torsten Sachs, Vladimir Shevchenko, Andrey Skorokhod, Andreas Stohl, Elli Suhonen, Erik S. Thomson, Marina Tsidilina, Veli-Pekka Tynkkynen, Petteri Uotila, Aki Virkkula, Nadezhda Voropay, Tobias Wolf, Sayaka Yasunaka, Jiahua Zhang, Yubao Qiu, Aijun Ding, Huadong Guo, Valery Bondur, Nikolay Kasimov, Sergej Zilitinkevich, Veli-Matti Kerminen, Markku Kulmala
Summary: This study summarizes the results obtained in the northern Eurasian region and urban environments in China over the past 5 years in the context of the PEEX program. The study finds that although scientific knowledge in these regions has increased, there are still limitations and gaps in our understanding of large-scale climate-Earth surface interactions and feedbacks. The lack of coordinated and continuous in situ observations and integrative data analyses hinder a comprehensive system analysis.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Environmental Sciences
Kalle Nordling, Hannele Korhonen, Jouni Raisanen, Antti-Ilari Partanen, Bjorn H. Samset, Joonas Merikanto
Summary: Understanding the impact of different anthropogenic climate forcing agents on regional surface temperature responses is crucial for predicting future climate changes. This study analyzes the energy flux changes in the atmosphere and ocean caused by various forcing agents, revealing significant differences in temperature responses between models primarily due to variations in longwave emissivity.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Meteorology & Atmospheric Sciences
Meri Virman, Marja Bister, Jouni Raisanen, Victoria A. Sinclair, Heikki Jarvinen
Summary: After the release of the ERA-Interim reanalysis, the Integrated Forecasting System model and data-assimilation system underwent many changes leading to an improved reanalysis, ERA5. The new model version in ERA5 better represents the moisture sensitivity of deep convection, resulting in improvements in the representation of the tropical atmosphere. However, comparisons with radiosonde observations show that ERA5 tends to deviate more than ERA-Interim in the low-to-midtroposphere, likely due to the newer formulation of organised deep entrainment and moisture sensitivity mechanism. Further model evaluation is needed to fully understand the discrepancies between the reanalyses and observations.
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY
(2021)
Article
Geography, Physical
Jouni Raisanen
Summary: Simulations by the EURO-CORDEX models indicate a widespread future decrease in snow water equivalent in northern Europe, attributed to changes in the snowfall and snow-on-ground fractions. In areas with milder winters, these fractions play a significant role in the long-term change and interannual variability of snow water equivalent, while in colder areas, total precipitation is a dominant factor in SWE variability. The projected future decrease in SWE is attributed to reduced snowfall and snow-on-ground fractions despite an increase in winter total precipitation.
Article
Environmental Sciences
Joonas Merikanto, Kalle Nordling, Petri Raisanen, Jouni Raisanen, Declan O'Donnell, Antti-Ilari Partanen, Hannele Korhonen
Summary: The study reveals that the effects of Asian anthropogenic aerosols on global surface temperature are mainly achieved through atmospheric energy transport and changes in cloud cover, leading to global warming. Adjusting Asian aerosol emissions can help mitigate global warming in the next few decades.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Environmental Sciences
Olli Saranko, Carl Fortelius, Kirsti Jylha, Kimmo Ruosteenoja, Erika Brattich, Silvana Di Sabatino, Vaino Nurmi
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)