Question map
With reference to Ocean Mean Temperature (OMT), which of the following statements is/are correct ? 1. OMT is measured up to a depth of 26℃ isotherm which is 129 meters in the south-western Indian Ocean during January - March. 2. OMT collected during January - March can be used in assessing whether the amount of rainfall in monsoon will be less or more than a certain long-term mean. Select the correct answer using the code given below :
Explanation
The correct answer is Option 2. This question evaluates the technical nuances of Ocean Mean Temperature (OMT) versus Sea Surface Temperature (SST) in predicting the Indian Summer Monsoon.
Statement 1 is incorrect: While OMT is indeed measured up to the depth of the 26°C isotherm, this depth varies significantly. In the south-western Indian Ocean during January–March, the 26°C isotherm depth generally ranges between 50 to 100 meters, not 129 meters. The value of 129 meters is an inaccurate specification for that region and period.
Statement 2 is correct: OMT is a superior indicator compared to SST because it represents the heat content of the upper ocean layer rather than just the surface. Research by scientists (like those at IITM) has proven that OMT data collected from the southwestern Indian Ocean during the January–March period shows a high correlation with the upcoming monsoon rainfall. It helps meteorologists assess with better accuracy whether the seasonal rainfall will exceed or fall short of the long-term mean.
PROVENANCE & STUDY PATTERN
Full viewThis is a classic 'Science in the News' question masquerading as Core Geography. It stems from a specific IIT Pune study reported in The Hindu (Jan 2020). Statement 1 is a 'Precision Trap'—hyper-specific numbers (129m) in dynamic physical systems are usually false. Statement 2 is a 'Possibility Principle'—scientific applications are generally correct.
This question can be broken into the following sub-statements. Tap a statement sentence to jump into its detailed analysis.
- Statement 1: Ocean Mean Temperature (OMT) is measured from the sea surface down to the depth of the 26°C isotherm.
- Statement 2: The depth of the 26°C isotherm in the south-western Indian Ocean during January–March is 129 meters.
- Statement 3: Ocean Mean Temperature (OMT) collected during January–March can be used to assess whether Indian monsoon seasonal rainfall will be above or below its long-term mean.
Explains the vertical temperature structure and names the thermocline as the boundary where temperature falls rapidly from surface to depth.
A student could check whether the 26°C isotherm commonly lies within or near the thermocline (100–400 m) in various regions to judge use of that isotherm as an OMT bottom.
Repeats the thermocline definition and the typical depth range (about 100–400 m) and notes deep-ocean temperatures approach 0°C.
Compare the typical depth of the 26°C isotherm (using sea temperature profiles or maps) with the thermocline depth given here to assess if 26°C is a consistent OMT marker.
Gives an example using a specific temperature threshold (~27°C) and a warm-water layer depth (60–70 m) important for tropical storms, showing thresholds and depth-layers are used in ocean studies.
Use this example of a temperature threshold and associated depth to infer that other specific isotherms (e.g., 26°C) can be used as practical layer boundaries for measurements like OMT, especially in the tropics.
Provides typical surface temperature values (about 27°C at the equator) and notes latitudinal decline, indicating where a 26°C isotherm might be located geographically.
Combine these surface temperatures with a world map to locate regions where a 26°C surface or subsurface isotherm is plausible, helping to test whether measuring down to that isotherm would capture a meaningful warm layer.
Describes rates of temperature decrease with depth (rapid near surface, slower below), giving a basis for understanding how deep a particular isotherm (e.g., 26°C) might occur.
Apply the described vertical temperature gradients to estimate approximate depths of given isotherms in different regions to evaluate the practicality of using the 26°C isotherm as an OMT boundary.
Gives the general vertical temperature structure and locates the thermocline boundary usually around 100–400 m where temperature drops rapidly.
A student could infer that a 26°C isotherm in the tropics/low latitudes likely lies within this thermocline band and thus check whether ~129 m is plausible for SW Indian Ocean January–March.
States typical surface monthly temperatures: equatorial oceans >24°C and mean January temperatures over 27°C in some regions, indicating surface waters in the tropics commonly exceed 26°C in winter months.
Combine surface temperature norms with the thermocline depth (snippet 9) to estimate where the 26°C contour would descend offshore in January–March.
Explains that western Indian Ocean can warm (e.g., during El Niño) because heat is retained; implies relatively deep warm-surface layers compared with other oceans.
Use the idea of retained heat in the western Indian Ocean to expect a deeper 26°C isotherm there than in cooler regions, making 129 m more plausible.
Notes observed warming in the South Indian Ocean (surface temps rising from ~26.5°C to 30–32°C), indicating the 26°C surface contour may shift in space/depth with recent warming.
A student could use reported surface warming to reason that the 26°C isotherm may sit deeper or be displaced seasonally, so verifying a specific 129 m depth requires contemporaneous profiles.
Describes major warm currents (Agulhas/Mozambique) that transport warm water poleward in the southern Indian Ocean, affecting vertical and horizontal temperature distribution.
Map the position of these currents relative to the SW Indian Ocean and anticipate deeper warm-water penetration (and thus deeper 26°C isotherm) where warm currents persist in Jan–Mar.
States monsoon understanding uses data collected on oceans and upper atmosphere and that IMD forecasts monsoon behaviour using multiple indicators.
A student could infer OMT is the kind of ocean variable IMD might include among indicators and test correlation with monsoon rainfall.
Explains monsoon mechanism depends on land heating/cooling relative to ocean, linking ocean state to monsoon winds and rainfall.
Combine this with Jan–Mar OMT anomalies (warm/cool) to hypothesize effects on land–sea temperature contrast and subsequent monsoon strength.
Notes thermal concepts of monsoon and complexity (convectional, orographic, cyclonic), implying ocean-driven thermal patterns can influence monsoon but aren't sole cause.
Use this to caution that OMT may be one contributing predictor and should be tested alongside other factors.
Describes March–May as the hot season when the heat belt shifts north, identifying March as start of the pre-monsoon warming period.
A student could compare Jan–Mar OMT with concurrent land heating patterns (from maps/temperature data) to assess potential impacts on subsequent monsoon onset/intensity.
Points out January is coldest month in India and coastal moderation by oceans, implying ocean temperatures in Jan–Mar can affect coastal/regional thermal contrasts relevant to monsoon dynamics.
Extend by checking whether anomalous coastal OMTs in Jan–Mar reduce or enhance land–sea contrast that influences monsoon circulation.
- [THE VERDICT]: Bouncer/Trap. Derived from a specific 'The Hindu' Science article (Jan 2020) on IIT Pune research. Not found in NCERT or GC Leong.
- [THE CONCEPTUAL TRIGGER]: Monsoon Prediction Models. The scientific shift from using Sea Surface Temperature (SST) to Ocean Mean Temperature (OMT) for better accuracy.
- [THE HORIZONTAL EXPANSION]: Compare SST (skin temp, erratic) vs OMT (depth energy, stable). Master sibling indices: IOD (Indian Ocean Dipole), ENSO (El Nino), MJO (Madden-Julian Oscillation), and EQUINOO. Remember 26.5°C is the cyclogenesis threshold.
- [THE STRATEGIC METACOGNITION]: When you see a hyper-specific number (129 meters) applied to a vast, dynamic ocean region, trigger your 'Absurdity Filter'. Nature rarely adheres to exact integers across a whole season. Trust the utility (Statement 2) but reject the rigid data (Statement 1).
Thermocline marks the rapid temperature decrease between surface and deep waters and determines vertical temperature layering.
High-yield for questions on ocean stratification, heat content, mixing and their influence on climate and marine processes; links to upwelling, nutrient distribution and ocean circulation topics often tested in UPSC geography and environment sections.
- FUNDAMENTALS OF PHYSICAL GEOGRAPHY, Geography Class XI (NCERT 2025 ed.) > Chapter 12: Water (Oceans) > Horizontal and Vertical Distribution of Temperature > p. 103
- Physical Geography by PMF IAS, Manjunath Thamminidi, PMF IAS (1st ed.) > Chapter 33: Ocean temperature and salinity > Thermocline > p. 513
Sea surface temperature systematically decreases from the equator toward the poles and is commonly expressed as average values and gradients by latitude.
Essential for interpreting climate maps, isotherms and the role of ocean currents in regional climates; useful for questions on heat distribution, monsoon modulation and biogeographic zonation.
- Certificate Physical and Human Geography , GC Leong (Oxford University press 3rd ed.) > Chapter 12: The Oceans > The Temperature of Ocean Water > p. 108
- Physical Geography by PMF IAS, Manjunath Thamminidi, PMF IAS (1st ed.) > Chapter 33: Ocean temperature and salinity > Horizontal Temperature Distribution > p. 516
The depth and temperature of the warm water layer (around 27°C) control the moisture and latent heat available to drive tropical storms.
Directly connects ocean thermal structure to cyclone formation and intensity — a recurring interdisciplinary theme linking physical geography, disaster management and climate change; enables analysis of storm genesis and impacts.
- Physical Geography by PMF IAS, Manjunath Thamminidi, PMF IAS (1st ed.) > Chapter 26: Tropical Cyclones > Good Source of Latent Heat > p. 355
Temperature falls rapidly below a surface boundary layer (thermocline), which controls the depths at which specific isotherms occur.
High-yield for physical geography and oceanography questions: enables interpretation of temperature–depth profiles, estimation of thermocline depth ranges, and links to ocean heat content and seasonal variability. Useful for map/profile interpretation and questions on vertical mixing, biological zones, and climate processes.
- FUNDAMENTALS OF PHYSICAL GEOGRAPHY, Geography Class XI (NCERT 2025 ed.) > Chapter 12: Water (Oceans) > Horizontal and Vertical Distribution of Temperature > p. 103
Isotherms bend poleward over warm ocean currents and equatorward over continents, affecting horizontal temperature distribution.
Crucial for answering questions on regional temperature distribution, effects of currents (e.g., Gulf Stream, Agulhas), and continentality. Helps solve map-based and conceptual questions on why temperature lines shift and how surface patterns influence regional climates.
- FUNDAMENTALS OF PHYSICAL GEOGRAPHY, Geography Class XI (NCERT 2025 ed.) > Chapter 8: Solar Radiation, Heat Balance and Temperature > Distribution of Temperature > p. 71
- Physical Geography by PMF IAS, Manjunath Thamminidi, PMF IAS (1st ed.) > Chapter 21: Horizontal Distribution of Temperature > Northern Hemisphere > p. 290
SST thresholds around 24–26°C determine regions favorable for tropical cyclone formation, and rising SSTs expand these regions.
Important for disaster management, climate change and monsoon-related questions; connects SST thresholds to cyclone frequency/intensity, Indian Ocean Dipole/ENSO interactions, and policy/disaster preparedness topics commonly asked in UPSC mains and GS papers.
- Physical Geography by PMF IAS, Manjunath Thamminidi, PMF IAS (1st ed.) > Chapter 26: Tropical Cyclones > All Because of Global Warming > p. 378
- Physical Geography by PMF IAS, Manjunath Thamminidi, PMF IAS (1st ed.) > Chapter 29: El Nino, La Nina & El Nino Modoki > Indian Ocean Dipole Effect (Not Every El Nino Year Is The Same In India) > p. 415
Oceanic and atmospheric parameters are used as predictors in assessing monsoon behaviour and form part of operational forecasting indicators.
High-yield: explains why ocean and atmospheric measurements matter for seasonal forecasts and policy-relevant questions on agriculture and water resources. Connects to topics on climate variability, forecasting methods and disaster management. Enables answers on how observational indices inform monsoon outlooks.
- INDIA PHYSICAL ENVIRONMENT, Geography Class XI (NCERT 2025 ed.) > Chapter 4: Climate > Understanding the Monsoon > p. 33
- Exploring Society:India and Beyond ,Social Science-Class VII . NCERT(Revised ed 2025) > Chapter 3: Climates of India > The Monsoons > p. 54
The '26.5°C' isotherm is the standard textbook threshold for Tropical Cyclone formation (Cyclogenesis). The next logical question could focus on 'Ocean Heat Content (OHC)', which measures energy stored up to this depth (D26), rather than just temperature.
The 'Dynamic Variable' Rule. Ocean properties (depth, temperature) vary by location and current. A statement claiming a fixed depth ('is 129 meters') for a vast region (SW Indian Ocean) over a whole season (Jan-Mar) is geographically illogical. Nature is fluid, not fixed. Eliminate 1.
Link OMT to Disaster Management (GS3) and Agriculture (GS3). More accurate monsoon forecasting directly impacts drought/flood preparedness and is critical for the 'Doubling Farmers Income' strategy.