scholarly journals Spatial analysis and model construction of NDVI Based on meteorological data

2022 ◽  
Vol 355 ◽  
pp. 03040
Author(s):  
Jifeng Wu ◽  
Yayu Cheng
Keyword(s):  
El Niño ◽  
Vegetation Change ◽  
Vegetation Index ◽  
El Nino ◽  
Meteorological Data ◽  
Southern Region ◽  
La Niña ◽  
La Nina ◽  
Geographical Regions ◽  
Precipitation And Temperature

NDVI (Normalized Vegetation Index) is an important characteristic index to study regional vegetation change, which is greatly influenced by meteorological data. Based on the analysis of the trend change and correlation between NDVI and PWV (Precipitable Water Vapor), precipitation and temperature in four geographical regions of China, this paper constructs a model between NDVI and PWV, precipitation and temperature in each geographical region according to multiple regression, and predicts NDVI through meteorological data. The results show that:(1) NDVI and meteorological factors have the same changing trend, and the maximum value appears in every region from June to September, and the value of NDVI in southern region is relatively large. (2) The correlation between rainfall and NDVI is the highest in Qinghai-Tibet region, the correlation between temperature, PWV and NDVI is the highest in northern region, the correlation between NDVI and rainfall, temperature and PWV is the lowest in southern region. (3)According to the meteorological data ,NDVI prediction can be achieved better, and the prediction effect in southern region is the best and the model accuracy is the highest. (4) NDVI is negatively related to El Niño event, positively related to La Nina event, and the stronger El Niño and La Nina events are, the higher the correlation is.

scholarly journals El Niño Southern Oscillation (1896 to 2016): Quantifying Effects on Winter Precipitation and Temperature in Southwest Ohio, USA

2021 ◽  
Vol 121 (2) ◽  
pp. 64-77
Author(s):  
Robert W. Ritzi ◽  
Lauren M. Roberson ◽  
Michael Bottomley
Keyword(s):  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
Winter Precipitation ◽  
Winter Temperature ◽  
La Niña ◽  
El Niño Southern Oscillation ◽  
El Nino Southern Oscillation ◽  
La Nina ◽  
Precipitation And Temperature

Continental-scale studies of North America suggest that the El Niño Southern Oscillation (ENSO) can cause winters to be warmer, with less precipitation, during El Niño conditions and colder, with more precipitation, during La Niña conditions in the Midwest United States. Two sources of historical records of precipitation and temperature in southwest Ohio from 1896 to 2016 were analyzed. Three statistical methodologies were used to test the hypothesis that anomalies in winter temperature and precipitation occurred in relation to ENSO phases. Eighty percent of El Niño winters had below-average winter precipitation; the average anomaly was −5 cm. Precipitation decreased with increase in El Niño strength as measured by the Multivariate ENSO Index (MEI). These results were statistically significant beyond the 95% level. However, variation in MEI only accounted for 3% of the overall variability in winter precipitation. Many of the drier winters on record, including the extrema, occurred during neutral winters. During La Niña winters precipitation was not statistically significantly different from that in neutral winters. Winter temperature was not statistically significantly different during El Niño and La Niña winters within the century of record. The results were consistent between separate analyses of data from the 2 different sources.

Plankton response to El Niño 1997–1998 and La Niña 1999 in the southern region of the California Current

2002 ◽  
Vol 54 (1-4) ◽  
pp. 33-58 ◽  
Author(s):  
B.E Lavaniegos ◽  
L.C Jiménez-Pérez ◽  
G Gaxiola-Castro
Keyword(s):  
El Niño ◽  
El Nino ◽  
California Current ◽  
Southern Region ◽  
La Niña ◽  
La Nina

The mechanism of general flowering in Dipterocarpaceae in the Malay Peninsula

1999 ◽  
Vol 15 (4) ◽  
pp. 437-449 ◽  
Author(s):  
Masatoshi Yasuda ◽  
Jun Matsumoto ◽  
Noriyuki Osada ◽  
San'ei Ichikawa ◽  
Naoki Kachi ◽  
...  
Keyword(s):  
El Niño ◽  
Atmospheric Carbon Dioxide ◽  
El Nino ◽  
Meteorological Data ◽  
Equatorial Region ◽  
La Niña ◽  
Malay Peninsula ◽  
Night Time ◽  
La Nina ◽  
General Flowering

The mechanism of general flowering in Dipterocarpaceae in the Malay Peninsula is revealed through field survey and meteorological data analyses. The regions of general flowering coincide with those which experienced a low night-time temperature (LNT) c. 2 mo before flowering. This supports the hypothesis that low air temperature induces the development of floral buds of dipterocarps. LNT was found to be caused by radiative cooling during dry spells in winter when the northern subtropical ridge (STR) occasionally migrates southwards with a dry air mass into the equatorial region. LNT events usually occur in La Niña episodes, not in El Niño episodes as believed previously. This is because the southward migration of the STR is associated with the intensification of local meridional Hadley Circulation in the western Pacific, which is strengthened in a La Niña episode. Results suggest that El Niño-like climate change in increased atmospheric carbon dioxide concentrations may be critical for the tropical rain forest biome in south-east Asia.

scholarly journals Anomalías de vegetación asociadas con el fenómeno del ENOS en el valle geográfico del río Cauca, Colombia

2017 ◽  
pp. 89 ◽  
Author(s):  
J. M. Valencia ◽  
C. E. García ◽  
D. Montero
Keyword(s):  
El Niño ◽  
Vegetation Index ◽  
El Nino ◽  
Southern Oscillation ◽  
Temporal Analysis ◽  
La Niña ◽  
Agricultural Crop ◽  
Factors Affecting ◽  
La Nina ◽  
The Impact

<p>The main factors affecting the production and yield of sugarcane are variety, agronomic management, soil type and climate, of which the first three there is some control, while the climate is one factor of which you cannot have any control, therefore, it should be monitored. Colombia, being located in the equatorial pacific, is affected by two atmospheric oceanic phenomena known as “El Niño” and “La Niña”, which make up the climatic phenomenon of ENSO (El Niño-Southern Oscillation) and affect the quantity and the number of days with rainfall and influences the production of sugarcane. The objective of this work is to identify spatially and temporally the zones with greater and lower impact of the ENSO phenomenon in the cultivation of sugarcane in Colombia through the use of the Standard Vegetation Index (SVI) and the Rainfall Anomally Index (RAI) using EVI/MODIS images and precipitation data from meteorological stations on a quarterly basis for the period 2000-2015. A similar trend was found between both indices in the “El Niño” and “Neutral” seasons, while in the “La Niña” season the RAI tended to rise while the SVI decreased when the RAI was very high, this tendency being much more marked in areas with floods caused by the overflow of the main rivers. In addition, a comparison was made between the SVI index and a productivity anomaly index (IAP), finding a direct correlation between both (R<sup>2</sup> = 0.4, p&lt;0.001). This work showed that through the use of vegetation indexes, a temporal analysis of the impact of climate on an agricultural crop can be carried out, especially with ENSO conditions.</p>

scholarly journals Diagnóstico da Precipitação e EVI em Dois Eventos de Seca no Nordeste do Brasil

2018 ◽  
Vol 35 ◽  
pp. 102-112 ◽  
Author(s):  
Washington Luiz Félix Correia Filho ◽  
Tatiana Vanessa dos Santos ◽  
Anacleto Marito Diogo ◽  
Ricardo Ferrreira Carlos de Amorim
Keyword(s):  
El Niño ◽  
Vegetation Index ◽  
El Nino ◽  
La Niña ◽  
Enhanced Vegetation Index ◽  
La Nina

A resposta da vegetação é um dos indicadores utilizados na avaliação da dinâmica da Seca no Nordeste do Brasil (NEB), muito recorrente nos últimos vinte anos. Neste trabalho, o objetivo geral foi diagnosticar a precipitação e Enhanced Vegetation Index (EVI) em dois eventos de seca no NEB. Foram utilizados dados de acumulados mensais de precipitação e de EVI mensal, durante os anos de 2011-2012 (La Niña) e 2015-2016 (El Niño), para avaliar estes eventos de seca. No La Niña de 2011-2012, o padrão anômalo no Oceano Atlântico Tropical favoreceu a irregularidade e nos baixos índices de precipitação sobre o NEB. Este efeito é constatado principalmente no Semiárido, com valores de precipitação inferiores a 25 mm.mês-1. O EVI apontou diminuição na perda de biomassa entre os meses de março a setembro nessa região, com valores inferiores a 0,3, provocados pela estiagem. Durante o El Niño de 2015-2016, houve um acréscimo sutil na precipitação em relação ao La Niña de 2011-2012, principalmente no mês de janeiro. Em janeiro, os sistemas frontais desprendidos da Zona de Convergência do Atlântico Sul, e também, de uma tempestade tropical contribuíram para precipitação expressiva na região, em especial no Semiárido, que registrou valores superiores a 350mm. Esta precipitação contribuiu para o aumento do teor vegetativo nesse período, com valores de EVI entre 0,2 a 0,5, que minimizou os efeitos da seca. Concluiu-se que os dois eventos apresentaram forte irregularidade na precipitação que resultou na expansão e agravamento das estiagens, principalmente no Semiárido.

scholarly journals Shifts in Growing Season of Tropical Deciduous Forests as Driven by El Niño and La Niña during 2001–2016

Forests ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 448 ◽  
Author(s):  
Phan Diem ◽  
Uday Pimple ◽  
Asamaporn Sitthi ◽  
Pariwate Varnakovida ◽  
Katsunori Tanaka ◽  
...  
Keyword(s):  
El Niño ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Deciduous Forest ◽  
El Nino ◽  
Southern Oscillation ◽  
Growing Season ◽  
La Niña ◽  
Tropical Deciduous Forest ◽  
La Nina

This study investigated the spatiotemporal dynamics of tropical deciduous forest including dry dipterocarp forest (DDF) and mixed deciduous forest (MDF) and its phenological changes in responses to El Niño and La Niña during 2001–2016. Based on time series of Normalized Difference Vegetation Index (NDVI) extracted from Moderate Resolution Imaging Spectroradiometer (MODIS), the start of growing season (SOS), the end of growing season (EOS), and length of growing season (LOS) were derived. In absence of climatic fluctuation, the SOS of DDF commonly started on 106 ± 7 DOY, delayed to 132 DOY in El Niño year (2010) and advanced to 87 DOY in La Niña year (2011). Thus, there was a delay of about 19 to 33 days in El Niño and an earlier onset of about 13 to 27 days in La Niña year. The SOS of MDF started almost same time as of DDF on the 107 ± 7 DOY during the neutral years and delayed to 127 DOY during El Niño, advanced to 92 DOY in La Niña year. The SOS of MDF was delayed by about 12 to 28 days in El Niño and was earlier about 8 to 22 days in La Niña. Corresponding to these shifts in SOS and LOS of both DDF and MDF were also induced by the El Niño–Southern Oscillation (ENSO).

ANALISIS DAERAH RAWAN KEKERINGAN LAHAN JAGUNG BERDASARKAN IKLIM OLDEMAN DAN KETERSEDIAN AIR TANAH DI NUSA TENGGARA TIMUR SAAT PERIODE EL NINO DAN LA NINA

2019 ◽  
Vol 3 ◽  
pp. 1219
Author(s):  
Oki Adrianto ◽  
Sudirman Sudirman ◽  
Suwandi Suwandi
Keyword(s):  
El Niño ◽  
El Nino ◽  
La Niña ◽  
La Nina

Perekonomian Provinsi Nusa Tenggara Timur secara sektoral masih didominasi sektor pertanian.Tanaman jagung menjadi salah satu produksi tanaman pangan terbesar berdasarkan data dari Dinas Pertanian dan Perkebunan Provinsi Nusa Tenggara Timur tahun 2015. Peningkatan produksi pertanian dapat dilakukan melalui berbagai strategi adaptasi dan upaya penanganan bencana, salah satu upaya tersebut adalah dengan penyediaan informasi iklim terkait penentuan daerah-daerah rawan kekeringan. Tujuan dari penelitian ini adalah untuk mengetahui sebaran wilayah rawan kekeringan lahan jagung bulanan di Provinsi Nusa Tenggara Timur saat kondisi El Nino dan La Nina dengan periodeisasi bulanan januari hingga desember. Data yang digunakan dalam penelitian ini adalah data curah hujan rata rata bulanan di 19 pos hujan di Provinsi Nusa Tenggara Timur dan suhu udara rata-rata bulanan dihitung menggunakan pendekatan teori Brack dengan titik referensi Stasiun Klimatologi Lasiana Kupang. Periode dari masing-masing data yang digunakan adalah dari tahun 1991 dan 1997 digunakan sebagai tahun El Nino dan tahun 1999 dan 2010 digunakan sebagai tahun La Nina. Metode yang digunakan untuk menentukan tingkat rawan kekeringan dengan menggunakan pembobotan berdasarkan penjumlahan bobot tipe iklim Oldeman dan bobot ketersediaan air tanah. Hasil penelitian menunjukkan sebaran daerah kekeringan di Provinsi Nusa Tenggara Timurpada tahun el nino lebih luas dibandingkan tahun la nina.

A Influência dos fenômenos El Niño e La Niña sobre a dinâmica climática da região Amazônica

2018 ◽  
Vol 1 ◽  
pp. e2018014
Author(s):  
Samya de Freitas MOREIRA ◽  
Cleiciane Silva da CONCEIÇÃO ◽  
Milla Cristina Santos da CRUZ ◽  
Antônio PEREIRA JÚNIOR
Keyword(s):  
El Niño ◽  
El Nino ◽  
La Niña ◽  
La Nina

Caracterização climática da temperatura do ar em Veranópolis, Rio Grande do Sul

Agrometeoros ◽  
2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Amanda Heemann Junges
Keyword(s):  
El Niño ◽  
El Nino ◽  
Rio Grande ◽  
La Niña ◽  
Rio Grande Do Sul ◽  
La Nina

Estudos locais de caraterização e variabilidade climática são fundamentais para geração de informações mais adaptadas às atividades agrícolas desenvolvidas em um município ou região. O objetivo desse trabalho foi caracterizar climaticamente e analisar a influência de eventos El Niño Oscilação Sul (ENOS) na série 1956-2015 de temperatura do ar de Veranópolis, RS. Para caracterização climática foram estabelecidas estatísticas descritivas das temperaturas do ar máximas, mínimas e médias mensais, estacional e anual na série e normal climatológica padrão 1961- 1990. Para identificação de diferenças entre estações e influência de eventos ENOS, os dados foram submetidos à análise de variância e teste de Duncan. Os resultados indicaram que a temperatura média anual é de 17,3ºC, variando entre 12,7ºC (julho) e 21,8ºC (janeiro). O clima é do tipo Cfb, de acordo com a classificação climática de Köppen e TE (temperado) na classificação climática do Estado. Temperaturas mínimas médias mensais inferiores a 10ºC ocorrem de maio a setembro, período de maior variabilidade interanual das temperaturas máximas (desvio padrão entre 1,5º e 1,8ºC), mínimas (1,6-1,8ºC) e médias mensais (1,4-1,7ºC). Anos de La Niña possuem temperaturas médias estacionais inferiores as de El Niño, embora diferenciação em relação a neutros ocorra somente para temperaturas mínimas na primavera e máximas no outono.

Sign in / Sign up

Export Citation Format

Share Document