Floods & flash floods

A flash flood doesn't build for days, it arrives in minutes. We catch it rising while the stream still looks calm.

One crisis. Many faces.

Climate change isn't a single event you can plan for. The same warming atmosphere that drives a flash flood this month deepens a drought the next — and makes the weather in between harder to predict every year. Too much water. Too little water. At the wrong time, in the wrong place.

Too little water

Drought & water scarcity

The balance we've lost.

Too much water

Floods & flash floods

Climate change doesn't reach us as temperature. It reaches us as water.

When we talk about climate change, we usually talk about temperature. But temperature floods nobody's cellar, dries no field and empties no reservoir. Warming reaches people, towns and infrastructure almost entirely through water — as floods, drought, storms and failing water quality.

A warmer atmosphere does both at once: it drops a heavier downpour, then dries the land faster between two of them — so what changes isn't how much water falls, but how unevenly it arrives. And these are the hardest events to see: they form on an unnamed stream with no gauge, under a cell that fits between the two nearest measuring points. That's why Meratch exists — to measure where the data doesn't yet.

Jozef Pecho

Jozef Pecho

Climate/NWP Model & Data Analyst

Why we work on climate — read the full essay.

Floods

Flash floods and overflow arrive faster and hit harder than legacy warning systems can detect.

Droughts

Soil dries out and water runs short — threatening crops, supply and raising wildfire risk.

Storms

Rainfall, storms and heat swing to extremes the historical record no longer predicts.

Water Quality

Sediment and microbes, drought, heat strips out oxygen. And it shows up hours later.

These aren't four separate problems. They're symptoms of one crisis — and they demand one response.

One connected platform for climate adaptation.

Three earth sciences — hydrology, meteorology and climatology — on a single hyperlocal platform. Meratch owns the whole chain, from sensor in the ground to AI-driven forecast on your screen.

Flash Flood Early Warning

Floodar

Floodar is a flash flood early warning system that gives municipalities, river basin authorities, and critical infrastructure operators the time they need to act before water rises.

Storm Nowcasting

Atmoseer

Meratch's extreme weather forecasting engine delivers hyperlocal forecasts of severe weather phenomena from the next few hours to several days ahead, with a special focus on the nowcasting window — the critical time frame where traditional forecasts fall short.

Drought Early Warning

Drought

Flash droughts strike fast — developing in weeks instead of months as heatwaves and rainfall deficits rapidly deplete soil moisture.

Water Quality Monitoring

AquaSensio

AquaSensio is an autonomous water quality monitoring system designed for continuous, in-situ measurement in wells, boreholes, rivers, and reservoirs — even in remote locations with minimal maintenance.

Water Level Monitoring

Greywater, Tanker, Weller

Meratch provides end-to-end monitoring of surface water and groundwater quantity — from mountain streams and rivers to reservoirs, boreholes, and piezometric wells.

The blind spot.

Regional forecasts miss the street, the field and the catchment where decisions are made.

National forecasts and warnings are good — they're just not close enough. It isn't a question of quality, but of scale. The weather that matters happens at a single point: this substation, this plant intake, this stretch of road, this field. But a storm cell is only a few kilometres wide and lasts tens of minutes, while the public sensor network measures every few tens of kilometres — and a network can't resolve anything smaller than the spacing between its points. An area-wide forecast can't tell apart two places three kilometres apart — even when one is hit and the other stays clear.

And the gap is widening. A warming climate doesn't only make extremes stronger — it also changes how they are distributed in space. As dew points rise, a growing share of heavy rainfall is taking on a convective rather than stratiform character: short, violent, and concentrated in cells just a few kilometres across, instead of spread evenly across a region. Sub-hourly downpours are intensifying the fastest of all. In practice, this means the events causing the most damage are becoming exactly the events a coarse regional grid cannot see.

Events a coarse regional grid cannot see

Which is why area-wide warnings are losing their audience. A warning is issued for a whole district; the storm hits one village inside it. For everyone else it registers as another false alarm. In our survey among Slovak mayors, most said they no longer rely on district-level warnings for their own decisions — not because the warnings are wrong, but because they are not specific enough to be actionable. Every false positive costs a little credibility, until the one alert that really matters is the one nobody moves on.

Weather made to measure

Meratch closes the gap. Instead of country-wide weather, it gives you the weather where you actually operate. Smart IoT sensors monitor rainfall, water level, wind and related parameters directly on site; data is evaluated in real time, and when preset thresholds are crossed the system automatically alerts the people responsible.

Because the trigger is your own measurement — not an average over a district — an alert means something is happening to you. That is what makes it worth acting on. Meratch doesn't replace national warnings; it adds the hyperlocal layer that ordinary forecasts routinely miss, and turns "somewhere in the region, sometime today" into "here, now, this much."

End-to-end,
one company.

Sensors

LoRa, NB-IoT, 2G, and satellite connectivity options ensure data transfer even during the worst floods, when infrastructure is failing.

Learn more

Real-time data

High-quality electronics and advanced post-processing ensure reliable flood warnings. We flag suspicious data and adjust system predictions.

Edge & cloud computing

Intuitive online dashboard and mobile app to view and understand sensor data is part of the Floodar package at no additional cost.

Hyperlocal forecast

Durable sensors withstand harsh flood conditions. Plug & play design with installation hardware for easy setup.

Bulletproof connectivity

99.8% uptime

Seal of Excellence

AI models

Behind every alert is a real scientist.

Meratch isn't a black box. Our hydrological, meteorological and climatological models are built and validated by working scientists — the same expertise national agencies rely on.

Peter Gabris

Peter Gabris

Hydrologist

Senior Computational Hydrologist with extensive experience and co-author of multiple flood forecasting systems for large river basins, which have been successfully utilized over many years.

Jozef Pecho

Jozef Pecho

Climate analyst

Jozef has strong expertise in climate analysis and the evaluation of climate risks and extremes. Within Meratch, he translates climate data into actionable insights for hydroclimatic monitoring and forecasting solutions.

Miroslav Singer

Miroslav Singer

Meteorologist

Miroslav has expertise in weather analysis, forecasting, and meteorological tool enhancement, with a primary focus on local severe weather phenomena. He works on the development and evaluation of nowcasting weather models for Meratch.

Viera Rattayova

Viera Rattayova

Data scientist in Hydroclimatology

Viera is a scientist in hydroclimatology with a focus on data science, processing of remote sensing-based datasets, and the application of AI algorithms in hydroclimatological modeling. In the Meratch project, she contributes to the design of methodology and workflows for hydrological modeling.

Vladimir Chudoba

Vladimir Chudoba

GIS expert

Vladimir has a background in GIS gained through research-oriented work focused on water systems and hydrological modeling. In the Meratch project, he develops and integrates spatial data workflows and geospatial analyses that form the backbone of hydrological modeling and risk evaluation.

Ondrej Zavodsky

Ondrej Zavodsky

HW lead engineer

With background in hardware engineering gained through research-oriented work focused on IoT electronic device design, he develops and integrates low-power IoT architectures and microcontroller workflows—notably for the skCUBE satellite project—that form the backbone of advanced sensing, stratospheric landing systems, and industrial monitoring solutions.

Milan Onderka

Milan Onderka

Hydrologist & Climatologist

Milan has expertise in hydrology and climatology, with a focus on meteorological and precipitation extremes. At Meratch, he contributes to the analysis and interpretation of extreme precipitation events to support the development of robust hydroclimatic monitoring and modelling tools.

Tomas Zvolensky

Tomas Zvolensky

Business development manager

With background in wireless technologies, marketing, and business development, he helps Meratch customers figure out specifics of their wireless sensing projects and guides their buying journey.

Stefan Kadlic

Stefan Kadlic

Software Development

Head of the software department driving technical direction and execution across Meratch software projects. He works closely with hardware and science teams to deliver dependable systems for monitoring, analytics, and forecasting.

Alexander Kutka

Alexander Kutka

Project manager

An experienced project manager focusing on implementing a world-renowed methodology called EOS—The Entrepreneurial Operating System, a comprehensive management framework, designed to help leadership teams gain control, improve efficiency, and achieve business growth.

Pavol Turcina

Pavol Turcina

CEO

Serial entrepreneur creating strategic partnerships across telecommunications, M2M, and IoT. Leading teams delivering wins in smart cities, environmental monitoring, meteorology, and flood-prevention tech.

Real deployments. Real institutions.

Monitoring groundwater levels is our obligation at CHMI, and getting it right matters – the data feeds directly into national drought monitoring, hydrological balance assessments, and publicly available reports and maps about the state of groundwater across the Czech Republic.
Martin ZrzaveckýHead of Underground Water Department, CHMI
The deployment of these smart sensors enables us to monitor water levels, soil conditions and atmospheric factors in real time, providing crucial data for flood prediction and prevention. Early warning is crucial for emergency services to act quickly and manage the risks.
Dušan KočickýLIFE FLOPRES Project Lead

Be ready to protect what matters most.

Tell us about your municipality and we'll show you exactly where the water rises first and how much warning Floodar can buy you.