CTAF — Proyecto Paraguay (2026): Paraguay fue seleccionado para un proyecto de demostración de IA + imágenes satelitales para mapas de riesgo climático (inundaciones/sequías). Nuestro pronóstico de precipitación por IA complementa directamente ese trabajo.
Paraguay selected for CTAF field demo: AI + satellite imagery for flood/drought risk maps. Our AI precipitation forecasting directly complements this.
Financiamiento para Agricultura Climáticamente Inteligente: GGGI + AFD estructuran líneas de crédito y un Bono de Resiliencia. Nuestros pronósticos de días secos informan decisiones de riesgo agrícola.
GGGI + AFD structuring credit lines + Resilience Bond for climate-smart agriculture. Our dry-day forecasts inform agricultural risk decisions.
Estrategia SLCP + Mercado de Carbono (MADES): GGGI ejecuta proyectos de GCF con MADES. La red de 60 estaciones ($400–700K) es un proyecto de adaptación financiable vía GCF.
GGGI executes GCF projects with MADES (SLCP strategy, carbon market). The 60-station network ($400–700K) is a fundable adaptation project via GCF.
El Desafío / The Challenge
Paraguay no tiene un sistema de pronóstico construido para sus condiciones
Paraguay has no forecasting system built for its conditions
Red de observación con brechas críticas: 97 estaciones EMA listadas, solo ~25 reportaron en 24h. 26 silentes >6 meses. El Chaco es la región menos servida.
97 EMA stations listed, only ~25 reported in 24h. 26 silent >6 months. The Chaco is the least served.
Ningún modelo global se valida para Paraguay. GFS, IFS, ERA5 — se ejecutan sin calibración. Nadie sabe dónde fallan o cómo mejorarlos.
No global model is validated for Paraguay. GFS, IFS, ERA5 — run without calibration.
Nosotros cambiamos eso.We changed that.
Lo Que Construimos / What We Built
Ensamble de pronóstico por IA, calibrado para Paraguay, con incertidumbre en cada número
AI forecast ensemble, calibrated for Paraguay, with uncertainty on every number
Not asking for money. Asking for direction and access. GGGI knows which finance window fits a $400–700K network. That knowledge is worth months of research.
La Red de Observación / The Observation Network
The business case for adaptation finance
The problem: Paraguay needs ~60 automatic stations for WMO standards. No observations → no good forecasts → no effective adaptation.
ROI demonstration: AI model works best where stations are sparsest. Each new station improves forecasts via data assimilation. Demonstrable feedback loop.
Component
Cost
Notes
AI model (already built)
~$120
2 months, full validation
Real-time operational pipeline
~$1,500–3,000/yr
When a pilot user commits
60-station observation network
$400,000–700,000
Adaptation infrastructure — fundable via GCF/GEF
GGGI structures the finance. We provide the technical case.
Lo Que Pedimos / What We Ask
Small, specific, time-boxed. One ask per conversation.
#
Ask
Why
1
Climate finance direction
Which window (GCF/GEF/KOICA) fits a $400–700K observation network? Who's the right accredited entity?
2
Inclusion in GCF evidence
Our network gap data and forecast skill are direct evidence for GGGI's GCF-funded adaptation work.
3
Letter of support / partnership
A GGGI partnership opens doors with DMH, donors, and cooperatives we can't open alone.
Not asking GGGI to fund anything. Asking for the right path. They are the experts in structuring climate finance for Paraguay.
Estado Actual / Current Status
Already in conversations with relevant institutions
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MADES / DNCC — Meeting confirmed Ing. Nora Páez (DNCC) + Adrian Valiente. Climate adaptation + early warning + Climate Action Week.
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GGGI — Visit in progress We're here now.
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IPTA — Engaged Lead engineer Orlando Knowlton → referred to MAG for climate/weather issues.
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DMH — Pending Needs Decree 8701/2012 waiver for historical data. A GGGI or MADES letter would help enormously.
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Itaipú Binacional — Contacts identified Hydrology division, 12 own EMA stations. Historical data for validation.
One specific conversation: How can Arawave complement GGGI's Paraguay portfolio — climate tech, climate-smart agriculture, or green finance for observation infrastructure?
¿Cómo puede Arawave encajar en el portafolio de adaptación de GGGI?