Supporting natural resource sectors with climate science

🌍 Exploring the Impact of MOD16A2 and CHIRPS Datasets on Water Resources and Vegetation Dynamics 🛰️ Have you heard about the MOD16A2 and CHIRPS datasets? 🌧️🌿 These powerful resources are revolutionizing how we understand and manage water resources and vegetation dynamics. 🌿 MOD16A2 (MODIS Evapotranspiration): This dataset, derived from NASA's MODIS satellites, provides crucial information on evapotranspiration (ET), a key component of the water cycle. By monitoring ET, we gain insights into plant water use, drought conditions, and overall ecosystem health. 🌧️ CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data): CHIRPS combines satellite data with ground observations to deliver high-resolution precipitation data. This enables us to track rainfall patterns, assess drought risks, and support agricultural planning and water resource management. ℹ️ These datasets are invaluable for researchers, policymakers, and environmental professionals working in fields such as hydrology, climate science, agriculture, and natural resource management. They empower us to make informed decisions for sustainable development and climate resilience. Let's harness the power of MOD16A2 and CHIRPS to drive positive change for our planet! 🌍💧 See code bellow: //Select area var roi = ee.FeatureCollection('users/paleomapas/NE_UF_2017_GCS_SIRGAS_2000') .filter(ee.Filter.eq('NM_ESTADO','MARANHTO')); //Outline var empty = ee.Image().byte(); var outline = empty.paint({ featureCollection: roi, color: 2, width: 2 }); Map.centerObject(roi); //====================================================================== //====================================================================== // Set start and end dates var startYear = 2002; var endYear = 2015; // Create date list var startDate = ee.Date.fromYMD(startYear, 1, 1); var endDate = ee.Date.fromYMD(endYear + 1, 1, 1); // Encompasses the 365 days of the year // Make years list var years = ee.List.sequence(startYear, endYear); // Make months list var months = ee.List.sequence(1, 12); //====================================================================== //====================================================================== // Import MOD16 evapotranspiration dataset. var mod16 = ee.ImageCollection('MODIS/006/MOD16A2').select('ET') .filterDate(startDate, endDate); // Precipitation var CHIRPS = ee.ImageCollection('UCSB-CHG/CHIRPS/PENTAD') .filterDate(startDate, endDate); the other parts of the code down in the comments #EarthObservation #RemoteSensing #MODIS #ClimateScience #WaterResources #DataScience #GIS #EnvironmentalScience #NASA #SatelliteData #Hydrology #Agriculture #DroughtMonitoring #ClimateResilience #SustainableDevelopment #DataAnalytics #ScienceCommunication #LinkedInPost

🌍 India Takes a Landmark Step Towards Climate Resilience with NFCS-India Draft🌦️ India just launched the National Framework for Climate Services (NFCS-India), a pivotal policy instrument aimed at transforming how climate data and services are produced, shared, and applied across all sectors of society. 🚨 Why does this matter? Because climate change is no longer a far-off risk — it’s a daily, visible, and compounding threat. From agriculture to water, from health to energy, and from disaster management to infrastructure — decision-makers need timely, reliable, and sector-specific climate information to act effectively. NFCS-India is the answer to this call. 🔍 What is NFCS-India? It’s a strategic framework that brings together climate science, user needs, and governance structures to create a streamlined national ecosystem for climate services. Anchored by the India Meteorological Department (IMD) and aligned with the Global Framework for Climate Services (GFCS), NFCS will facilitate: ✅ Tailored climate services for agriculture, water, health, energy, and disaster risk reduction ✅ Early warning systems for extreme weather events ✅ Climate-informed planning and policy design ✅ A centralized digital infrastructure for climate data ✅ Integration of AI/ML-based climate modeling tools ✅ Capacity building and user training across sectors As someone deeply engaged in environmental systems, climate finance, and sustainable infrastructure development — this move is both timely and transformational. We’ve been grappling with fragmented data systems and reactive planning for far too long. NFCS has the potential to bridge the gap between science and action, especially if implemented with robust institutional support, open access tools, and participatory governance. 📢 Let’s co-create a climate-resilient India. Kudos to IMD, MoES, and all stakeholders who made this policy a reality. 📄 You can read the full NFCS-India framework here: 🔗 https://lnkd.in/gT6ADzvJ #NFCSIndia #ClimateServices #ClimateResilience #Adaptation #IMD #Constructivist #ParisAgreement #ClimateIntelligence #Sustainability #IndiaClimatePolicy

Enhancing climate advisory services is a critical enabler of country-driven adaptation efforts. These services help #farmers make informed decisions on agriculture and natural resource management. In Kenya 🇰🇪 the Alliance of Bioversity International and CIAT has worked with Kenya Agricultural and Livestock Research Organization (KALRO) and the Kenya Meteorological Department to develop an integrated model that bundles forecasts with agro-advisories, strengthening the adaptive capacity and support the implementation of the Paris Agreement. As #climateadaptation takes the central stage at #UNFCCC #SB62 in Bonn, investments in integrated, user-informed advisory systems offer a tangible and scalable example of adaptation in action. ➡️ https://lnkd.in/d_DpnYGW