Mumbai : Analysis of evident effects of Climate Change
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Oceanography
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Applied sciences
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Climatology
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Trend on IMD maximum temperature timeseries (Jupyter Notebook)
author: https://orcid.org/0000-0002-1784-2920
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date created: 2022-06-24 10:51:09.924094+00:00
date modified: 2022-06-24 10:51:12.284464+00:00
description: This jupyter notebook uses a rolling mean to show the trend in maximum temperature timeseries from the India Meteorological Department.
license: no-permission
sd date published: 2022-06-24 10:51:09.924094+00:00
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Analysis of IMD Rainfall timeseries (Jupyter Notebook)
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date created: 2022-06-24 10:42:13.346314+00:00
date modified: 2022-06-24 10:42:18.045826+00:00
description: This jupyter notebook shows how to read and analyze Rainfall timeseries from the India Meteorological Department.
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sd date published: 2022-06-24 10:42:13.346314+00:00
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Analysis of IMD maximum temperature timeseries (Jupyter Notebook)
author: https://orcid.org/0000-0002-1784-2920
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date created: 2022-06-24 10:45:11.840662+00:00
date modified: 2022-06-24 10:45:14.198941+00:00
description: This jupyter notebook shows how to read and analyze maximum temperature timeseries from the India Meteorological Department.
license: no-permission
sd date published: 2022-06-24 10:45:11.840662+00:00
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Analysis of IMD minimum temperature timeseries (Jupyter Notebook)
author: https://orcid.org/0000-0002-1784-2920
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date created: 2022-06-24 10:46:49.881365+00:00
date modified: 2022-06-24 10:46:52.828886+00:00
description: This jupyter notebook shows how to read and analyze minimum timeseries from the India Meteorological Department.
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sd date published: 2022-06-24 10:46:49.881365+00:00
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NDVI maps over the region of Mumbai (India) using Copernicus Land NDVI products (Jupyter Notebook)
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creator: https://orcid.org/0000-0002-1784-2920
date created: 2022-07-22 14:53:14.343263+00:00
date modified: 2022-07-22 14:53:17.468756+00:00
description: Demonstrate the usage of Copernicus Land NDVI product to assess the changes in the presence of live green vegetation over the region of Mumbai. Methodology approach - Use NDVI data from the Copernicus Global Land Service portal (https://land.copernicus.vgt.vito.be/PDF/portal/Application.html) - Visualize NDVI monthly statistics (long term statistics between 1999 - 2019 and short term statistics 2015-2019 Select a single point and compare NDVI from 2021 with NDVI long term statistics
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sd date published: 2022-07-22 14:53:14.343263+00:00
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Mumbai : Analysis of evident effects of Climate Change
about: Oceanography
about: Applied sciences
about: Climatology
content size: 14960
date created: 2022-06-16 14:08:36.887193+00:00
date modified: 2025-10-18 11:32:24.647271+00:00
date published: 2022-06-16 14:08:36.887193+00:00
description: The project aims at establishing the trends of temperature , precipitation and air currents over the city of Mumbai. This will lead to establishment of concrete analysis of Climate Change on a 'local' basis and would help establish a suitable action plan.
encoding format: application/ld+json
keywords: India
keywords: Mumbai
keywords: climate
keywords: rainfall
keywords: temperature
license: no-permission
creation mode: MANUAL
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cite-as: Jha, Soumya, and Anne Foilloux. "Mumbai : Analysis of evident effects of Climate Change." ROHub. Jun 16 ,2022. https://w3id.org/ro-id/6942229f-fba8-415d-a326-0ae5fd6360da.

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has part: Analysis of IMD minimum temperature timeseries (Jupyter Notebook)
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The project aims at establishing the trends of temperature , precipitation and air currents over the city of Mumbai.
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Climate change
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Mumbai : Analysis of evident effects of Climate Change.
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earth sciences
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This will lead to establishment of concrete analysis of Climate Change on a 'local' basis and would help establish a suitable action plan.
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IMD Temperature and Rainfall metadata information
author: https://orcid.org/0000-0002-1784-2920
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date created: 2022-06-24 10:39:19.172760+00:00
date modified: 2022-06-24 10:39:25.676244+00:00
description: Webpage containing information about Temperature and Rainfall data from the India Meteorological Department: 1) Daily Gridded Rainfall Data Set Over India New High Spatial Resolution (0.25X0.25 degree) Long Period (1901-2021); 2) Daily minimum and maximum temperature data (1X1 degree) Long period (1951-2020)
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Anne Fouilloux
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service-account-enrichment
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Soumya Jha
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sig
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