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Is Your Weather Ready? A Checklist for Monitoring & Forecasting

Published: 09/01/2025 Updated: 10/04/2025

Table of Contents

TLDR: Feeling unprepared for unpredictable weather? This checklist walks you through 9 key areas - from data sources and forecasting accuracy to alerts and adaptation strategies - so you can assess your current weather monitoring & forecasting setup and identify areas for improvement, ensuring your business or operation is ready for whatever Mother Nature throws your way.

Is Your Weather Ready? A Checklist for Monitoring & Forecasting

Before diving into the nitty-gritty, let's address a fundamental question: is your organization genuinely weather ready? It's more than just checking the forecast; it's about building resilience and proactively mitigating risks associated with ever-changing weather patterns. Many businesses operate on autopilot, reacting to weather events after they're upon them. A truly weather-ready organization anticipates, adapts, and minimizes disruptions.

Think about it - a sudden hailstorm damaging crops, a prolonged drought impacting water resources, or a severe storm interrupting supply chains. The costs, both financial and operational, can be significant. Investing in robust weather monitoring and forecasting isn't merely a best practice; it's a crucial aspect of business continuity and long-term sustainability.

This checklist isn't about becoming a meteorologist. It's about fostering a culture of weather awareness and empowering your team to make informed decisions based on accurate, timely information. Let's explore how you can move from reactive to proactive when it comes to weather.

Why Weather Monitoring & Forecasting Matters

The impacts of weather extend far beyond a sunny day or a rainy afternoon. They touch every facet of modern life, influencing everything from food production and energy distribution to transportation, public health, and even financial markets. Ignoring or underestimating these impacts can lead to significant consequences-lost revenue, damaged infrastructure, and, most importantly, risks to human safety.

Consider the agricultural sector, where unpredictable rainfall or extreme temperatures can devastate crops and livelihoods. Energy companies must anticipate demand fluctuations based on weather patterns, ensuring reliable power supply during heatwaves or cold snaps. Businesses reliant on transportation, like logistics and retail, face disruptions due to storms and severe weather events. And emergency responders depend on accurate forecasts to prepare for and respond to natural disasters.

Investing in robust weather monitoring and forecasting isn't simply about reacting to conditions; it's about proactively mitigating risks, optimizing operations, and building resilience in the face of an increasingly volatile climate. It've moved beyond simply checking the forecast - it's about understanding the underlying trends and leveraging that knowledge to make informed decisions that protect what matters most.

1. Laying the Foundation: Data Sources & Acquisition

The accuracy of any weather forecast, regardless of how sophisticated the models, hinges on the quality and breadth of the data feeding into them. Think of it like building a house - a shaky foundation will lead to instability, no matter how beautiful the design. Your weather data acquisition strategy is that foundation.

So, where are you getting your weather information? Relying solely on a free weather app on your phone simply won't cut it for critical decision-making. A robust data ecosystem draws from a variety of sources to provide a more complete and reliable picture.

Here's a breakdown of common data sources, categorized by level of investment and complexity:

  • Publicly Available Data: NOAA (National Oceanic and Atmospheric Administration) offers a wealth of free data, including surface observations, radar imagery, and model forecasts. Numerous websites and apps aggregate this data, making it accessible to the general public. While convenient, be mindful of potential delays or limitations in data resolution.
  • Subscription Weather Services: These services, like AccuWeather, The Weather Company (Weather Underground), and others, offer enhanced data, tailored forecasts, and often, historical data access. Many cater to specific industries with specialized reports and alerts. The investment comes with increased accuracy and often, better customer support.
  • Local Observation Networks: Consider establishing your own network of weather stations, especially if you need hyperlocal data that isn't readily available elsewhere. This could range from a single backyard weather station to a network of sensors deployed across a larger area.
  • Private Weather Data Providers: For truly critical applications, specialized providers offer proprietary data and customized forecasting models. These solutions typically come with a higher price tag but can deliver unparalleled accuracy and reliability.
  • Remote Sensing Data: Satellite imagery and data from weather radar systems provide valuable insights into large-scale weather patterns and phenomena. Accessing this data often requires specialized expertise and software.

Ultimately, a blended approach-leveraging a combination of free and paid sources-often provides the optimal balance of cost and performance. Regularly evaluate the reliability and timeliness of your data sources and be prepared to adapt your strategy as new technologies and data become available.

2. Eyes on the Sky: Current Weather Monitoring

Real-time awareness is the bedrock of effective weather preparedness. It's not enough to simply know the forecast; you need to have a clear, up-to-the-minute picture of what's happening right now. This requires a robust system for current weather monitoring, going beyond a glance at a general weather app.

Ideally, your monitoring setup should encompass multiple layers. Think of it as a network of eyes on the sky. This might include:

  • Local Weather Stations: Investing in your own weather station, even a basic one, provides hyperlocal data on temperature, humidity, rainfall, and wind speed - information general forecasts often miss.
  • Radar Imagery: Regularly check radar imagery (easily accessible online through NOAA and other sources) to track precipitation patterns and intensity. Understanding the movement and speed of storms is crucial.
  • Surface Observations: Pay attention to surface observations from airports and other reporting stations in your area. These provide valuable data on visibility, cloud cover, and other conditions.
  • Automated Alerts: Set up automated alerts for significant weather changes, such as rapid temperature drops, heavy rainfall, or high wind speeds. These alerts should be delivered promptly and reliably.
  • Visual Checks: Don't underestimate the power of simply looking outside! Visual observations of cloud formations, wind direction, and precipitation can provide valuable context.

A layered approach, combining technology and careful observation, ensures you're always in the know and ready to respond to changing weather conditions.

3. Short-Term Precision: 0-7 Day Forecasting

The 0-7 day forecast is your immediate tactical guide. It's the information that directly informs daily decisions, from adjusting irrigation schedules and securing outdoor equipment to rerouting deliveries and preparing for potential disruptions. While generally more accurate than longer-range predictions, it's still crucial to understand its nuances and limitations.

Beyond the Basic Forecast: Don't just look at the predicted temperature and precipitation. Pay attention to:

  • Timing: When exactly will the rain start and stop? This impacts drainage considerations and the potential for flooding.
  • Intensity: A light drizzle is different from a torrential downpour. Assess the potential for damage and disruption.
  • Confidence Levels: Reputable forecasts provide confidence levels (e.g., 60% chance of rain). Higher confidence warrants greater action. Lower confidence requires flexibility.
  • Microclimates: Recognize that local conditions can differ significantly from broader forecasts. Consider incorporating hyperlocal data from personal weather stations or community networks.
  • Severe Weather Potential: Be vigilant for mentions of thunderstorms, high winds, hail, or other severe weather. These events demand immediate attention and proactive measures.

Comparing and Contrasting: It's rarely sufficient to rely on a single source. Actively compare forecasts from multiple providers - national weather service, commercial services, and even local news outlets. Discrepancies can highlight areas of uncertainty or provide valuable insights.

Dynamic Adjustment: The 0-7 day forecast isn't a static document. Conditions change, and forecasts are updated regularly. Stay informed of these revisions and be prepared to adjust your plans accordingly. A forecast that seemed clear this morning might require a completely different response by afternoon.

4. Planning Ahead: 0-14 Day Medium-Range Forecasting

While short-term forecasts (0-7 days) provide critical, immediate guidance, overlooking the next 7-14 days can lead to missed opportunities and avoidable risks. Medium-range forecasts aren't about pinpoint accuracy; they're about gaining a probabilistic understanding of what could happen. Think of it as a broader landscape view, helping you anticipate trends rather than reacting to specific events.

Why is this important? Consider these scenarios:

  • Agriculture: Knowing a period of sustained rainfall is likely in 10 days allows you to adjust irrigation schedules, harvest crops early, or apply preventative measures against fungal diseases.
  • Energy Sector: Anticipating a heatwave extending into the next couple of weeks allows for proactive adjustments to energy production and distribution, preventing potential blackouts and managing demand effectively.
  • Supply Chain & Logistics: Knowing about an impending storm system can enable you to reroute shipments, reschedule deliveries, and minimize disruptions to your supply chain.
  • Construction & Outdoor Events: Understanding a pattern of unsettled weather can inform scheduling decisions, allowing for adjustments to project timelines and minimizing the risk of costly delays.

It's crucial to remember that medium-range forecasts carry a higher degree of uncertainty than their short-term counterparts. Don't treat them as guarantees, but rather as signals to be considered alongside other data and expert judgment. Look for the trend - is there a consistent pattern of above-average temperatures, below-average precipitation, or increased wind speeds? Combine this broader view with local knowledge and ongoing monitoring to make informed decisions that mitigate risk and optimize operations.

5. Looking Ahead: Long-Range (Seasonal/Climate) Forecasting

While short-term and medium-range forecasts are vital for immediate planning, understanding the bigger picture - the seasonal and climate trends - is increasingly crucial for strategic decision-making. Long-range forecasts, typically extending across months or even years, don't offer precise daily predictions. Instead, they provide probabilistic outlooks on likely temperature and precipitation patterns, often expressed as deviations from historical averages.

Think of it as understanding the overall weather "flavor" of a season. A forecast indicating a higher probability of a warmer-than-average winter might influence decisions related to heating fuel inventories, agricultural planting schedules, or even infrastructure maintenance planning. Similarly, an outlook for a drier-than-average summer could prompt water conservation measures or adjustments to irrigation strategies.

It've been a revolution in data analysis and modeling has improved the reliability of these longer-range forecasts, but it's critical to remember their inherent limitations. They've been a lower resolution than their shorter-term counterparts, and should be interpreted with caution. They've been a valuable tool when combined with historical data, regional knowledge, and a thorough understanding of how climate change is impacting your specific area. Don't treat them as guarantees; consider them as indicators guiding broader strategic planning.

6. Staying Informed: Alerting & Communication

Effective alerting and communication are the vital link between weather forecasts and proactive action. A perfect forecast is useless if the information doesn't reach the right people, at the right time, in a format they understand. It's not just about sending out a notification; it's about ensuring people act on it.

Here's a breakdown of what constitutes a robust alerting and communication system:

  • Multiple Channels: Don't rely on a single method. Utilize a layered approach incorporating email, SMS text alerts, mobile app notifications, public address systems (where applicable), and even social media updates. This redundancy ensures that information reaches people even if one channel is unavailable.
  • Targeted Alerts: Generic alerts are often ignored. Segment your audience and tailor alerts based on location, role, or potential impact. A farmer in a specific field needs different information than a warehouse manager miles away.
  • Clear and Concise Language: Avoid technical jargon. Use plain language and focus on actionable information. For example, instead of Potential for convective precipitation, say Expect heavy rain and possible flooding.
  • Escalation Procedures: Establish clear protocols for escalating alerts based on severity. Who needs to be notified, and in what order, as conditions worsen?
  • Feedback Mechanisms: Regularly solicit feedback from recipients to assess the effectiveness of your communication system. Are the alerts timely, understandable, and actionable?
  • Training and Drills: Conduct periodic training and drills to ensure everyone knows how to respond to alerts and understands their roles in an emergency.
  • Backup Systems: Have backup communication systems in place in case of power outages or network failures. Consider satellite phones or two-way radios.

7. Reducing the Impact: Assessment & Adaptation

Understanding the potential impact of weather events is only half the battle; adapting your operations to mitigate those impacts is where true resilience is built. This isn't about simply reacting to storms; it's about proactively shaping your strategies to minimize disruption and protect your resources.

Risk Assessment: Your Foundation for Action

A comprehensive risk assessment should be the cornerstone of your adaptation plan. This involves identifying potential weather hazards specific to your location and industry - think heatwaves, droughts, floods, extreme precipitation, or even prolonged periods of fog. Then, evaluate the likelihood of each hazard occurring and the severity of the resulting impact. Consider not only direct damage (e.g., building collapse, crop loss) but also indirect consequences like supply chain disruptions, workforce unavailability, and increased operating costs. A simple risk matrix (likelihood vs. impact) can be incredibly helpful in prioritizing adaptation efforts.

Adaptation Strategies: Building Resilience from the Ground Up

Based on your risk assessment, tailor your adaptation strategies. These can be broadly categorized as:

  • Structural Adaptations: This includes physical modifications to protect assets. Examples include reinforcing buildings, constructing flood barriers, implementing drought-resistant landscaping, and utilizing weather-resilient materials.
  • Operational Adaptations: Adjusting work practices and processes to minimize risk. This could involve shifting work schedules to avoid extreme heat, diversifying crop varieties to handle drought, or implementing flexible inventory management to account for supply chain disruptions.
  • Financial Adaptations: Building financial buffers to absorb losses and maintain operations during adverse weather events. This could include purchasing insurance, establishing emergency funds, or developing alternative revenue streams.
  • Community Engagement: Collaborating with local communities and stakeholders to share information, coordinate preparedness efforts, and build collective resilience.

Remember, adaptation isn't a one-time event; it's an ongoing process that requires regular review and adjustment as weather patterns change and new risks emerge. By embracing a proactive and adaptive approach, you can significantly reduce the impact of weather events and build a more resilient future.

8. Leveraging Technology: Tools for Success

The weather technology landscape is evolving rapidly, offering increasingly sophisticated tools to enhance monitoring, forecasting, and decision-making. Gone are the days of relying solely on generic weather apps. Today's businesses and organizations need targeted solutions that provide actionable insights.

Here's a breakdown of essential technology categories and examples to consider:

  • Advanced Weather Data Platforms: Services like AccuWeather Enterprise Solutions, DTN, and Tomorrow.io aggregate data from diverse sources (satellites, radar, surface observations, IoT sensors) and present it in customizable dashboards. These platforms often include historical data analysis and predictive modeling capabilities.
  • Geographic Information Systems (GIS): GIS software (e.g., ArcGIS, QGIS) allows you to overlay weather data onto maps, visualizing potential impacts on specific locations. This is invaluable for risk assessment, infrastructure planning, and emergency response.
  • Internet of Things (IoT) Sensors: Deploying hyperlocal weather sensors - measuring temperature, humidity, rainfall, wind speed, and more - provides real-time data specific to your area of operation. This is particularly beneficial for agriculture, precision manufacturing, and urban planning.
  • Automated Alerting Systems: Configure alerts based on specific weather parameters or thresholds. These can be delivered via email, SMS, or integrated into existing workflow management systems.
  • Data Visualization Tools: Transform raw weather data into clear, concise visualizations (charts, graphs, heatmaps). Tools like Tableau and Power BI allow for interactive data exploration and reporting.
  • Machine Learning and AI: Emerging AI-powered weather models are improving forecast accuracy and enabling predictive analytics, helping organizations anticipate and prepare for extreme weather events.

Investing in the right technology can provide a significant competitive advantage, enabling better decision-making, improved operational efficiency, and increased resilience to weather-related challenges.

9. Building Expertise: Training & Skills

Weather understanding isn't just about subscribing to a forecasting service; it's about empowering your team to interpret that information and translate it into actionable decisions. A single, accurate forecast is useless if no one knows how to apply it effectively. Building weather expertise within your organization is a long-term investment that yields significant returns in resilience and operational efficiency.

Beyond the Basics: What Does Weather Training Look Like?

Training shouldn't stop at reading the forecast. It should encompass several key areas:

  • Weather Fundamentals: A foundational understanding of weather patterns, terminology (fronts, isobars, jet stream), and the science behind forecasts.
  • Forecast Interpretation: Learning to evaluate the confidence levels associated with forecasts, understanding model biases, and recognizing the difference between deterministic and probabilistic forecasts.
  • Impact Assessment: Analyzing how specific weather events (heavy rain, extreme heat, wind) will affect various aspects of your operations - from employee safety to equipment performance to supply chain logistics.
  • Decision-Making Under Uncertainty: Developing strategies for making informed choices when forecasts are uncertain or conflicting. This involves risk tolerance assessment and contingency planning.
  • Communication Skills: Training team members to clearly and concisely communicate weather-related information to relevant stakeholders.

Training Options & Resources

  • Internal Workshops: Leverage existing expertise within your organization or invite guest speakers.
  • Online Courses: Numerous platforms offer introductory and advanced meteorology courses tailored for professionals.
  • Government Agencies & Universities: Many offer training programs or workshops on weather-related topics.
  • Professional Certifications: Consider pursuing relevant certifications for key personnel.
  • Regular Briefings: Incorporate regular weather briefings into team meetings, focusing on upcoming events and potential impacts.

Don't underestimate the power of a weather-literate team. It's an investment that will pay dividends in safety, productivity, and overall preparedness.

10. Common Pitfalls to Avoid

Even with a robust weather monitoring and forecasting system in place, several common mistakes can undermine its effectiveness. Recognizing and avoiding these pitfalls is just as crucial as implementing the right tools and processes.

1. Solely Relying on Free Weather Apps: While convenient, many free apps aggregate data from various sources with varying degrees of accuracy. They often lack the nuance and localized detail needed for critical decision-making. Supplement these with more specialized services when precision is paramount.

2. Ignoring Forecast Uncertainty: All forecasts, especially those beyond a few days, carry inherent uncertainty. Treating them as absolute certainties can lead to overconfidence and costly mistakes. Pay close attention to probability statements and confidence levels.

3. Overlooking Historical Data: Failing to analyze past weather patterns can hinder your ability to anticipate future events. Historical data provides valuable context for understanding regional trends and assessing long-term risks.

4. Neglecting Communication Breakdown: Even the most accurate forecasts are useless if the information doesn't reach the people who need it. Establish clear communication channels and ensure everyone understands their responsibilities.

5. Assuming a Set and Forget Approach: Weather patterns are dynamic. Your monitoring and forecasting systems need regular review and updates to remain effective.

6. Failing to Integrate Weather Data into Operational Decisions: Weather information shouldn't exist in a silo. It needs to be integrated into your daily operations to drive informed decisions.

7. Ignoring Microclimates: General weather forecasts may not accurately reflect conditions in specific locations. Microclimates can create significant variations in temperature, precipitation, and wind.

8. Lack of Contingency Planning: Being prepared for the unexpected is crucial. Develop contingency plans for a range of potential weather scenarios.

9. Dismissing Local Expertise: Don't underestimate the value of local knowledge and experience. Engage with local weather enthusiasts or professionals for valuable insights.

10. Not Regularly Testing Your Response Plans: Your contingency plans are only effective if they're tested and refined. Conduct drills and simulations to ensure preparedness.

11. The Future of Weather Intelligence

The landscape of weather intelligence is undergoing a profound shift, driven by technological advancements and the escalating need for proactive resilience. Forget static forecasts; the future promises hyper-localized, predictive, and actionable insights. Several key trends are converging to reshape how we understand and respond to weather.

Firstly, the proliferation of Earth observation satellites, coupled with advancements in AI and machine learning, is enabling us to process vast datasets with unprecedented speed and accuracy. This leads to significantly improved short-term and now-casting capabilities, effectively giving us a "live" view of weather events unfolding. We're moving beyond models to real-time analysis of atmospheric conditions, surface temperatures, and even vegetation stress.

Secondly, the rise of the Internet of Things (IoT) is creating dense networks of hyperlocal weather sensors. These sensors, deployed in everything from agricultural fields to urban infrastructure, provide granular data that traditional weather stations simply can't capture. Imagine knowing the precise microclimate within a single farm plot, allowing for targeted irrigation and pest control.

Thirdly, the integration of weather data with other critical datasets - such as transportation networks, energy grids, and financial markets - is creating a holistic view of risk and opportunity. This allows businesses to anticipate disruptions and optimize operations in real-time. For example, an energy company can proactively adjust power generation based on predicted solar irradiance and wind speeds.

Finally, the rise of digital twins - virtual replicas of physical assets - are being used to simulate the impact of weather events and develop adaptive strategies. These simulations allow for experimentation and optimization without risking real-world consequences.

Looking ahead, the future of weather intelligence isn't just about predicting what will happen, but understanding how it will impact us, and empowering us to take action before it does. It's a shift from reactive management to proactive resilience - a transformation driven by data, technology, and a growing awareness of the vital role weather plays in our lives.

12. Taking Action: Your Next Steps

Now that you're armed with a clearer understanding of your current weather monitoring and forecasting capabilities, it's time to translate assessment into action. This isn't a one-and-done exercise; it's an ongoing process of refinement and adaptation. Here's a roadmap for your next steps:

Prioritize Your Findings: Not every issue demands immediate attention. Categorize your areas for improvement as "critical," "important," and "nice-to-have." Focus your initial efforts on the "critical" items - those that pose the greatest risk or offer the most significant potential for improvement.

Create an Action Plan: For each area needing attention, develop a concrete action plan with specific tasks, assigned responsibilities, and realistic deadlines. Break down larger tasks into smaller, more manageable steps.

Invest in Training & Resources: Identify training gaps within your team and provide opportunities for skill development. Consider subscribing to specialized weather services or investing in new technologies.

Establish a Regular Review Cycle: Schedule recurring reviews of your weather monitoring and forecasting program - quarterly, semi-annually, or annually - to track progress, identify new challenges, and ensure continued effectiveness.

Document Your Processes: Clearly document all procedures, protocols, and responsibilities related to weather monitoring and decision-making. This ensures consistency and facilitates knowledge transfer.

Embrace Continuous Improvement: Weather patterns are constantly changing. Be prepared to adapt your strategies and embrace new technologies to stay ahead of the curve. Regularly seek feedback and look for ways to optimize your approach. Remember, proactive preparation is your best defense against the unpredictable power of the weather.

13. Resources for Further Learning

Staying informed about weather patterns and forecasting techniques is an ongoing process. Here's a curated list of resources to help you deepen your understanding and keep up with the latest developments:

  • National Oceanic and Atmospheric Administration (NOAA): https://www.noaa.gov/ - The primary source for U.S. weather data, forecasts, and climate information. Explore their website for educational resources, data access tools, and severe weather alerts.
  • National Weather Service (NWS): https://www.weather.gov/ - Provides local forecasts, warnings, and weather-related information.
  • The Weather Channel: https://weather.com/ - A widely recognized source for weather news, forecasts, and educational content.
  • AccuWeather: https://www.accuweather.com/ - Another popular weather forecasting service offering detailed forecasts and weather news.
  • American Meteorological Society (AMS): https://www.ametsoc.org/ - A professional scientific organization offering educational resources, publications, and certifications.
  • World Meteorological Organization (WMO): https://public.wmo.int/en - The United Nations' specialized agency for weather, climate, and water resources.
  • University/College Meteorology Programs: Many universities offer online courses and resources on meteorology and related fields. Search for introductory courses or webinars.
  • Online Weather Forums & Communities: Engage with other weather enthusiasts and experts in online forums and communities dedicated to weather discussion. (Be mindful of sourcing and verifying information)
  • Scientific Journals & Publications: For advanced learning, explore peer-reviewed scientific journals and publications focused on atmospheric science and meteorology. (Requires a more technical background.)
  • Books on Weather and Climate: Numerous books cover various aspects of weather and climate, ranging from introductory guides to advanced scientific treatises.

FAQ

What does 'weather ready' mean?

Being 'weather ready' means having the knowledge, awareness, and tools to understand and respond to weather events effectively. It's about more than just knowing it will rain; it's about anticipating impacts and taking proactive steps to stay safe and minimize damage.


Why is it important to monitor weather conditions?

Monitoring weather conditions helps you anticipate potential hazards, understand the severity of a developing situation, and make informed decisions to protect yourself, your property, and your community.


What are some reliable sources for weather information?

Reputable sources include the National Weather Service (NWS), The Weather Channel, AccuWeather, and local news stations. Be sure to check multiple sources for a comprehensive view.


What's the difference between a weather watch and a weather warning?

A 'watch' means conditions are favorable for a specific weather event to occur. A 'warning' means that the event is happening or is imminent, posing an immediate threat.


What kind of tools can I use for weather forecasting?

Tools range from simple weather apps on your phone to more sophisticated tools like radar maps, weather models (like GFS or ECMWF), and NOAA weather radio. The best tool depends on your needs and technical ability.


How can I understand weather maps and radar imagery?

Many websites and apps offer explanations and tutorials on how to interpret weather maps and radar. Start with the basics, like understanding cloud types and precipitation patterns, and gradually build your knowledge.


What's a 'model' in weather forecasting, and are they always accurate?

Weather models are computer programs that use data and complex equations to predict future weather conditions. While increasingly sophisticated, they aren't perfect. Discrepancies between models are common and can indicate uncertainty.


How often should I check the weather forecast?

During periods of potentially severe weather, check the forecast at least once a day, and more frequently as conditions develop. Regularly check even during non-severe weather to stay informed about seasonal changes and potential impacts.


What should I do if I'm unsure about the severity of a weather event?

Err on the side of caution. If you're unsure, assume the weather will be more severe than predicted and take appropriate safety measures. Follow guidance from local authorities and emergency management agencies.


Are there specific considerations for different locations (e.g., coastal areas, mountainous regions)?

Yes! Coastal areas are susceptible to storm surge and high winds. Mountainous regions can experience rapid changes in weather conditions, including heavy snow and flash flooding. Tailor your monitoring and preparedness to your local hazards.


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