scholarly journals TREN CURAH HUJAN BERBASIS DATA SINOPTIK BMKG DAN REANALISIS MERRA-2 NASA DI PROVINSI SULAWESI TENGAH

2020 ◽  
Vol 21 (2) ◽  
pp. 63-72
Author(s):  
Solih Alfiandy ◽  
Donaldi Sukma Permana

Perubahan iklim dapat mempengaruhi perubahan pola dan intensitas curah hujan. Kajian iklim di Provinsi Sulawesi Tengah sangat penting dilakukan sebagai bahan pertimbangan dalam pengambilan kebijakan di bidang pertanian dan sektor lainnya. Penelitian ini bertujuan untuk mengetahui tren perubahan total curah hujan dan kejadian hujan ekstrem di Provinsi Sulawesi Tengah berdasarkan data dari stasiun sinoptik BMKG dan model reanalisis The Modern-Era Retrospective Analysis for Research and Applications Version 2 dari The National Aeronautics and Space Administration (MERRA-2 NASA) periode 1980-2017. Hasil menunjukkan bahwa kedua data memiliki kemiripan pola musim hujan dan hubungan korelasi positif yang signifikan dengan nilai koefisien determinasi (R2) sebesar 0,59-0,78 kecuali kota Palu dengan R2 = 0,14. Hal ini menunjukkan bahwa data MERRA-2 berpotensi untuk mengisi data kosong yang terdapat pada stasiun sinoptik BMKG di masa lalu. Selain itu, kedua data menunjukkan tren peningkatan total curah hujan, tren penurunan jumlah hari hujan <5 mm/hari, dan tren peningkatan jumlah hari hujan >50 mm/hari (ekstrem) per tahun. Tren peningkatan total hujan tahunan berkisar antara 4,68-52,40 mm/tahun dengan tren tertinggi terjadi di Kabupaten Poso, sebagian Kabupaten Sigi, Tojo Una-Una, Morowali Utara dan Morowali. Sedangkan tren terendah terjadi di Kabupaten Banggai, Banggai Kepulauan dan Banggai Laut. Tren peningkatan curah hujan bulanan tertinggi terjadi pada bulan April di Poso (4,8 mm/tahun), bulan Januari di Toli-Toli (3,6 mm/tahun) dan bulan Juni di wilayah Luwuk Banggai (2,8 mm/tahun) serta Palu (4,1 mm/tahun). Informasi ini dapat digunakan sebagai bahan pertimbangan dalam kebijakan terkait adaptasi dan mitigasi perubahan iklim di Provinsi Sulawesi Tengah.

2021 ◽  
Vol 161 ◽  
pp. S934-S935
Author(s):  
C. Félix Penido Mendes de Sousa ◽  
M. Jenwei Chen ◽  
P.J. Joffily Pinto ◽  
S.L. Favareto ◽  
F. Ko Chen ◽  
...  

2019 ◽  
Vol 15 (33) ◽  
pp. 29-41 ◽  
Author(s):  
Cleusa Matiola ◽  
Eduardo Augusto Werneck Ribeiro

A dengue é uma doença viral que vem colocando em risco parte da população do mundo. O vírus é transmitido pelo Aedes aegypti, também transmissor do zika vírus e da febre chikungunya. O número de A. aegypti é significativo em Santa Catarina ao longo dos anos. As variações climáticas contribuem para o aumento do vetor, porém as condições socioeconômicas da população e a ação antrópica também influenciam. O objetivo deste estudo é uma análise exploratória das variáveis climáticas e possíveis correlações com o aumento de número de mosquitos em Chapecó/SC. Para isto,  foi realizado modelagem estatística do número de A. aegypti, disponibilizados pela Diretoria de Vigilância Epidemiológica de Santa Catarina (DIVE), com distribuição da precipitação, médias de temperatura mínimas e máximas com recorte diário, entre 2010 e 2017, fornecidos por Modern Era Retrospective-Analysis For Research and Applications (MERRA2) da NASA. A pesquisa se mostrou promissora, os dados de MERRA2, trazem uma escala temporal que possibilitaram o estudo do clima com a proliferação do mosquito, tendo em vista que nem toda cidade conta com estação meteorológica. Este trabalho apresenta resultados parciais da pesquisa ainda em desenvolvimento, no programa de mestrado profissional Clima e Ambiente do Instituto Federal de Santa Catarina (IFSC).


2011 ◽  
Vol 24 (14) ◽  
pp. 3624-3648 ◽  
Author(s):  
Michele M. Rienecker ◽  
Max J. Suarez ◽  
Ronald Gelaro ◽  
Ricardo Todling ◽  
Julio Bacmeister ◽  
...  

Abstract The Modern-Era Retrospective Analysis for Research and Applications (MERRA) was undertaken by NASA’s Global Modeling and Assimilation Office with two primary objectives: to place observations from NASA’s Earth Observing System satellites into a climate context and to improve upon the hydrologic cycle represented in earlier generations of reanalyses. Focusing on the satellite era, from 1979 to the present, MERRA has achieved its goals with significant improvements in precipitation and water vapor climatology. Here, a brief overview of the system and some aspects of its performance, including quality assessment diagnostics from innovation and residual statistics, is given. By comparing MERRA with other updated reanalyses [the interim version of the next ECMWF Re-Analysis (ERA-Interim) and the Climate Forecast System Reanalysis (CFSR)], advances made in this new generation of reanalyses, as well as remaining deficiencies, are identified. Although there is little difference between the new reanalyses in many aspects of climate variability, substantial differences remain in poorly constrained quantities such as precipitation and surface fluxes. These differences, due to variations both in the models and in the analysis techniques, are an important measure of the uncertainty in reanalysis products. It is also found that all reanalyses are still quite sensitive to observing system changes. Dealing with this sensitivity remains the most pressing challenge for the next generation of reanalyses. Production has now caught up to the current period and MERRA is being continued as a near-real-time climate analysis. The output is available online through the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).


2017 ◽  
Vol 30 (14) ◽  
pp. 5419-5454 ◽  
Author(s):  
Ronald Gelaro ◽  
Will McCarty ◽  
Max J. Suárez ◽  
Ricardo Todling ◽  
Andrea Molod ◽  
...  

The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), is the latest atmospheric reanalysis of the modern satellite era produced by NASA’s Global Modeling and Assimilation Office (GMAO). MERRA-2 assimilates observation types not available to its predecessor, MERRA, and includes updates to the Goddard Earth Observing System (GEOS) model and analysis scheme so as to provide a viable ongoing climate analysis beyond MERRA’s terminus. While addressing known limitations of MERRA, MERRA-2 is also intended to be a development milestone for a future integrated Earth system analysis (IESA) currently under development at GMAO. This paper provides an overview of the MERRA-2 system and various performance metrics. Among the advances in MERRA-2 relevant to IESA are the assimilation of aerosol observations, several improvements to the representation of the stratosphere including ozone, and improved representations of cryospheric processes. Other improvements in the quality of MERRA-2 compared with MERRA include the reduction of some spurious trends and jumps related to changes in the observing system and reduced biases and imbalances in aspects of the water cycle. Remaining deficiencies are also identified. Production of MERRA-2 began in June 2014 in four processing streams and converged to a single near-real-time stream in mid-2015. MERRA-2 products are accessible online through the NASA Goddard Earth Sciences Data Information Services Center (GES DISC).


Author(s):  
Abubakr Ziedan ◽  
Mbakisya Onyango ◽  
Weidong Wu ◽  
Sampson Udeh ◽  
Joseph Owino ◽  
...  

The Mechanistic-Empirical Pavement Design Guide addresses climate effects on pavement design in a comprehensive way, which allows for investigating the effect of climate on pavement performance. However, it requires detailed climate inputs, which might not be readily available for most of the state departments of transportation. The AASHTOWare Pavement Mechanistic-Empirical Design (PMED) version 2.3 (v2.3) climate database encompasses 12 weather stations in the state of Tennessee, which does not satisfactorily represent all climatic regions in the state. The terrain in Tennessee varies from flat in the west to mountainous in the east. To evaluate the effectiveness of the updated AASHTOWare PMED v2.3 climate data input, this study analyses the performance of selected pavements in the state of Tennessee using the Modern-Era Retrospective Analysis for Research and Applications (MERRA) and the AASHTOWare PMED v2.3 databases as sources of PMED climate data inputs. A comparative analysis of the two climate data sources is conducted using eight long-term pavement performance (LTPP) sites in the state of Tennessee. The study revealed that MERRA as a climate data source for the state of Tennessee offers better geographic coverage, and therefore provides more precise distress predictions than the AASHTOWare PMED v2.3 climate database.


Author(s):  
Hyerim Kim ◽  
Myong-In Lee ◽  
Sungyoon Kim ◽  
Young-Kwon Lim ◽  
Siegfried D. Schubert ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document