Hydrologists
AI replacement rate
40%This role is currently tracked with 10 timeline items plus a profile-based replacement estimate.
Hydrologists' roles involve data analysis, modeling, and reporting, which benefit from AI's predictive and analytical capabilities. However, the need for fieldwork, complex problem-solving in ambiguous environments, and interdisciplinary collaboration limits full automation.
Replacement trend
Aggregated from periodic refresh snapshots- 2026-04-2040%
Why this role is rated this way
Structural baseAI excels at processing large hydrological datasets, improving predictive models for floods, droughts, and water quality, and identifying patterns more efficiently than traditional methods.
Automation tools, potentially enhanced by AI, can streamline the collection and initial processing of sensor data, environmental samples, and remote sensing imagery, reducing manual effort in routine monitoring tasks.
Hydrologists regularly encounter unique and ambiguous situations in the field or when dealing with highly variable natural systems, requiring expert human judgment, adaptive problem-solving, and on-site decision-making.
Essential fieldwork tasks, such as installing equipment, conducting on-site investigations, and performing physical measurements in diverse and often challenging environments, inherently require a human presence.
Communicating complex hydrological information, advising policymakers, and engaging with communities on water resource management or disaster preparedness demand strong interpersonal skills and nuanced contextual understanding.
Timeline
Relevant news and cases, newest firstHydrologists apply scientific knowledge of how water moves throughout the earth’s crust to practical issues of sustainability. They analyze precipitation such as rain and snow, observing their impact on groundwater levels, river flow, and evaporation cycles.
Open originalThe core of a hydrologist’s job involves measuring the properties of bodies of water, collecting and testing water samples, and analyzing the impact of pollution, erosion, and drought.
Open originalArtificial intelligence and machine learning (AI/ML) are tools increasingly being applied to hydrologic problems. Extensive data sets of hydrologic information (e.g., precipitation, water levels in wells, pumping rates, etc.) have been analyzed by hydrologists using AI/ML methods for the past ...
Open originalThe persistent challenge of ... these issues explicitly [111]. Within this evolving framework, XAI offers hydrologists a powerful tool to interrogate ML models and assess their representation of reality....
Open originalHydrologists study how water moves across and through the Earths crust.
Open originalExplore Hydrologists careers in New Jersey. Median salary: $113,580/year. 3 open jobs in NJ. Browse NJ training programs.
Open originalHydrology is the scientific study of Earth’s water. Hydrologists study the occurrence, circulation, distribution, and properties of the waters of the Earth and atmosphere. What Does a Hydrologist Do? The job duties of NWS hydrologists vary depending on office, region, and time of year.
Open originalOne of the key challenges for hydrologists is using ML to derive new knowledge and findings. Hydrology generally seeks to quantify relationships within the data, identify influential variables and understand the nature of their influence (linear, nonlinear or conditional).
Open originalThis program not only advances their skills but also adds a distinctive edge to their resumes.” The Hydrologic AI Forecasting Program is more than just a summer experience; it’s a gateway to a future where artificial intelligence plays a crucial role in managing the world’s water resources.
Open originalThis section reviews key applications where AI has significantly advanced hydrological science, addressing the challenges of managing water and soil resources in increasingly dynamic and unpredictable environmental conditions. Artificial intelligence, with the use of machine learning, neural networks, and data-driven models, helps hydrologists overcome these limitations imposed by traditional techniques in the fields of soil property modeling, streamflow, and groundwater level forecasting, water quality analysis, and applications of remote sensing information.
Open original